Journal articles: 'Machining operations'

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Sidhu, Ardamanbir Singh, Sehijpal Singh, Raman Kumar, Danil Yurievich Pimenov, and Khaled Giasin. "Prioritizing Energy-Intensive Machining Operations and Gauging the Influence of Electric Parameters: An Industrial Case Study." Energies 14, no. 16 (August 5, 2021): 4761. http://dx.doi.org/10.3390/en14164761.

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Increasing the energy efficiency of machining operations can contribute to more sustainable manufacturing. Therefore, there is a necessity to investigate, evaluate, and optimize the energy consumed during machining operations. The research highlights a method employed to prioritize the most energy-intensive machining operation and highlights the significance of electric parameters as predictors in power estimation of machining operations. Multi regression modeling with standardized regression weights was used to identify significant power quality predictors for active power evaluation for machining operations. The absolute error and the relative error both decreased when the active power was measured by the power analyzer for each of the identified machining operations, compared to the standard power equation and that obtained from the modeled regression equations. Furthermore, to determine energy-intensive machining operation, a hybrid decision-making technique based on TOPSIS (a technique for order preference by similarity to ideal solution) and DoM (degree of membership) was utilized. Allocation of weights to energy responses was carried out using three methods, i.e., equal importance, entropy weights, and the AHP (analytical hierarchy process). Results revealed that a drilling process carried out on material ST 52.3 is energy-intensive. This accentuates the significance of electric parameters in the assessment of active power during machining operations.

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Islam, Sumaiya, Raafat Ibrahim, and Noman Khondoker. "Effect of Machining Velocity in Nanoscale Machining Operations." IOP Conference Series: Materials Science and Engineering 78 (April 2, 2015): 012030. http://dx.doi.org/10.1088/1757-899x/78/1/012030.

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Al-Shafaie, Saad Hameed. "Mathematical Modelling of Magnetic Abrasive Machining Hybrid Operation: A Review." Journal of University of Babylon for Engineering Sciences 26, no. 6 (April 10, 2018): 175–84. http://dx.doi.org/10.29196/jubes.v26i6.1363.

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One of the hybrid operations is called Electrolytic Magnetic Abrasive Machining (EMAM), developed from two essential operations namely Electrochemical Machining (ECM) and Magnetic Abrasive Machining (MAM). EMAM takes advantage of both the operations for preferable machining performance and limits of electrically conductive materials. The workpiece may be cylindrical or flat either on both (internal or external) surface. Despite a few experimental setups have come up but the scope for performance evaluation of developed indigenous setup still remains open. Present study highlights mathematical modeling of process conditions and performance measure for EMAM operation. The unaccustomed performance possibility of EMAM operation at achievement level is in open research for a particular experimental machine. Therefore, mathematical modeling has been abstracted to certain best performance of machining experimental conditions.

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Agapiou, J. S. "The Optimization of Machining Operations Based on a Combined Criterion, Part 2: Multipass Operations." Journal of Engineering for Industry 114, no. 4 (November 1, 1992): 508–13. http://dx.doi.org/10.1115/1.2900705.

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Part 1 of this paper [1] introduced a novel, rational objective function that incorporates both the production cost and total time criteria. In Part 2, the problem of determining the optimum machining conditions for multipass operations is investigated. The optimum number of machining passes is obtained through the dynamic programming technique and the optimum machining conditions for each pass are then determined based on the objective function discussed in Part 1. This approach can be very effectively applied to multistage machining since the optimum arrangement of the different operations can be determined by the dynamic programming method while the optimum cutting conditions for the operations in each machining stage are obtained using the method for single-pass while incorporating the objective function described in Part 1. A multipass turning process is theoretically analyzed and a computational procedure for obtaining the machining parameters is developed. Several examples are presented in order to illustrate the procedure and demonstrate the advantages of the proposed optimization technique for a multipass turning operation.

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Wakabayashi, Toshiaki, Keisuke Yamada, Shota Koike, and Toshifumi Atsuta. "Turning of Titanium Alloy Using Near-Dry Methods with MQL, Coolant Mist and Hybrid Mist Supplies." Key Engineering Materials 749 (August 2017): 101–6. http://dx.doi.org/10.4028/www.scientific.net/kem.749.101.

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Because of effective machining operations with a very small amount of cutting fluids, near-dry machining attracts increasing attentions for environmental and economical benefits. MQL machining has so far been recognized as the most representative near-dry method and it is highly successful in machining of most ordinary steels. Recent concern for environmentally friendly manufacturing further encourages the attempts at applying near-dry operations to machining of difficult-to-cut materials. Since titanium alloys are typical difficult-to-cut materials, this paper investigates the cutting performance of various near-dry methods in turning of a titanium alloy from the view point of elongating the tool life. Those near-dry operations include supply methods of regular MQL mist, coolant mist and hybrid mists, where the coolant mist is atomized water-soluble cutting fluid and hybrid mists are the mixture of MQL and coolant mists. The regular MQL operation provided longer tool life than that of dry machining. In addition, compared with MQL machining, the hybrid mist operations could further extend tool life and, in particular, the single coolant mist operations demonstrated the possibility of making the tool life longer than that of ordinary wet machining with flood cutting fluid supply.

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Tarng, Y. S., S. T. Cheng, and Yue Sheng Wang. "Adaptive Control of Machining Operations." Key Engineering Materials 138-140 (September 1997): 263–88. http://dx.doi.org/10.4028/www.scientific.net/kem.138-140.263.

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Arikan, M. A. Sahir, and Onat H. Totuk. "Design by Using Machining Operations." CIRP Annals 41, no. 1 (1992): 185–88. http://dx.doi.org/10.1016/s0007-8506(07)61181-0.

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Teti, R., K. Jemielniak, G. O’Donnell, and D. Dornfeld. "Advanced monitoring of machining operations." CIRP Annals 59, no. 2 (2010): 717–39. http://dx.doi.org/10.1016/j.cirp.2010.05.010.

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Bila, Narciso Fernando, Rosilani Trianoski, Márcio P. Da Rocha, José Reinaldo Moreira Da Silva, Setsuo Iwakiri, Andrade F. Egas, and Alberto F. Mussana. "Machining Operations on Messassa Wood." Wood Research Journal 11, no. 1 (December 18, 2020): 12–19. http://dx.doi.org/10.51850/wrj.2020.11.1.12-19.

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This study aimed to evaluate the effect of machining operations on the surface quality of the messassa wood (Brachystegia spiciformis and Julbernadia globiflora) for use in the furniture industry. The wood cames from Mozambican Miombo Woodland. The following machining operations were performed: planing, shaping, milling, tearing and boring based on technical standard. The wood had a surface quality approval rating above 70% in all tested machining operations. A perfect surface quality was obtained with a feed speed of 6 m.min-1 in planing. Brachystegia spiciformis had easy workability and extremely well performance compared to Julbernadia globiflora. Nevertheless, both wood species have great potential for use in higher value-added products such as furniture and frame production.

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Liang, Chao, Xu Zhang, and Qing Zhang. "3D Machining Process Planning Based on Machining Feature Recognition Technique." Advanced Materials Research 945-949 (June 2014): 127–36. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.127.

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In the model-based definition (MBD) scheme, activities of process planning need to be carried out in 3D environment. To realize the 3D computer-aided process planning (3D CAPP), the design solid model needs to be transferred into a representation as manufacturing features, features’ process requirement and product manufacturing information (PMI), and then the generative process planning techniques can be realized by inferring machining operations based machining feature knowledge base. A machining feature-based 3D computer-aided process planning approach is proposed for machining part. Design model is transferred into boundary representation (B-Rep). According to a machining features classification scheme, hybrid machining feature recognition technique is introduced. A part process information model is generated including machining features, feature relationship, feature’s process chain. For each recognized machining feature, a feature’s process chain is inferred from feature knowledge base, based on feature type, process requirements, dimension and tolerances, and the enterprise manufacturing resources. Process intermediate models corresponding to each process operation are generated automatically by applying geometry local modification operations. The complete process plan is generated and documented with detailed operation information and 3D process intermediate models. A 3D CAPP tool is developed on ACIS/HOOPS, with industrial cases to demonstrate the feasibility and applicability of proposed method.

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Lee, Yubin, Alin Resiga, Sung Yi, and Chien Wern. "The Optimization of Machining Parameters for Milling Operations by Using the Nelder–Mead Simplex Method." Journal of Manufacturing and Materials Processing 4, no. 3 (July 5, 2020): 66. http://dx.doi.org/10.3390/jmmp4030066.

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The purpose of machining operations is to make specific shapes or surface characteristics for a product. Conditions for machining operations were traditionally selected based on geometry and surface finish requirements. However, nowadays, many researchers are optimizing machining parameters since high-quality products can be produced using more expensive and advanced machines and tools. There are a few methods to optimize the machining process, such as minimizing unit production time or cost or maximizing profit. This research focused on maximizing the profit of computer numerical control (CNC) milling operations by optimizing machining parameters. Cutting speeds and feed are considered as the main process variables to maximize the profit of CNC milling operations as they have the greatest effect on machining operation. In this research, the Nelder–Mead simplex method was used to maximize the profit of CNC milling processes by optimizing machining parameters. The Nelder–Mead simplex method was used to calculate best, worst, and second-worst value based on an initial guess. The possible range of machining parameters was limited by several constraints. The Nelder–Mead simplex method yielded a profit of 3.45 ($/min) when applied to a commonly used case study model.

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Sivaprakash, E., S. Aswin, D. Dhanaruban, G. Dinesh, and M. Inbamathi. "Machining Character Analysis of Coated and Uncoated End Mill on Heat Treated C45 Steel." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 2708–13. http://dx.doi.org/10.22214/ijraset.2022.41872.

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Abstract: Machining operations are used to produce shapes or surface characteristics for a product. Some common conventional machining operations are turning, boring, drilling, reaming, milling, and tapping. Conditions for machining operations were chosen based on geometry and surface finish requirements rather than profit when costs were comparatively low on labor, resource, machines, and tools. However, nowadays, many researchers proposed optimizing machining parameters to maximize profit when using expensive modern machine tools. The purpose of machining operations is to make specific shapes or surface characteristics for a product. Conditions for machining operations were traditionally selected based on geometry and surface finish requirements. This study was investigated the parameter optimization of end milling operation various parameter and coated tools and ordinary tool with heat treated C45 steel with single objective function criteria based on the Taguchi orthogonal array with the Taguchi design. Comparison of coated and uncoated end mill process of heat-treated C-45 steel fine Ra is obtained with coated tool. Kerf width almost equal of both tools it did not show any major difference Optimum level and ANOVA were calculated for both tools. Keywords: Ra, PVD coated, Heat treatment, End mill

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McKee, Keith E. "Machine tool technology: an extended view." Robotica 5, no. 2 (April 1987): 167–72. http://dx.doi.org/10.1017/s0263574700015344.

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SUMMARYMany of the evolving technologies related to machining will expand the traditional concept of the machine tool industry. Preprocessing of materials into net or near-net shapes will reduce or even eliminate the need for machining operations. Conversion of particles into parts is one generic approach which, when automated, could be integrated into a machining center. Similarly diecasting or squeeze casting could become an integrated part of the machining center for volume production. The machine tool industry could automate die manufacturing so that dies could be made in real time and could justify net shape production for small quantities and rush jobs.Much and often most of the time and costs within a “machining” operation are generated by secondary operations such as heat treating, plating, and welding–operations done in different parts of or even at different plants. The concept of extending the machining center to include these secondary operations has been considered for several years and to a limited extent, has occurred. Laser extended machining centers provide one possibility for integrating several of the secondary operations with machines at a single site.Post processing of machined parts at the site of the machining center can result in parts oriented and appropriately presented or packaged for subsequent operations. When several machined parts subsequently become an assembly or subassembly, the concept of machining could be extended to include the assembly.When machining is considered in this broader context, the technology futures of the machine tool industry are considerably broadened. Smarter machine tools, improved support structures, and high speed machining are important, but competitors are looking at the same opportunities and the competitive advantage is likely to be limited. “Leap frog” improvement depends on some of the less conventional technologies considered in this paper. Broadening of the machine tool horizons is likely to offer the technology path for revitalization and growth of the machine tool industry.

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Dimitrov, D., Viktoria Karachorova, and Tamas Szecsi. "Accuracy and Reliability Control of Machining Operations on Machining Centres." Key Engineering Materials 615 (June 2014): 32–38. http://dx.doi.org/10.4028/www.scientific.net/kem.615.32.

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During machining operations on machining centres, there are a large number of internal and external factors that act on the technological system. They generate errors that influence the manufacturing cost, productivity, and machining accuracy. The monitoring and control system developed for machining centres presented in this paper consists of 3D touch probes, a device for registering a contact between the cutting tool and workpiece, devices for measuring the geometric accuracy of the machine tool and for calibrating the touch probe in the spindle, parameterised CNC programmes, computer and software for data processing and database management. The developed system guarantees monitoring of the machining accuracy, low cost, high level of productivity, low number of preparatory work and measurements, increased reliability due to reduced scrap rate by reducing the probability of cutting tool breakage, the possibility of automating the measurements and processing the data, and wide applicability.

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NAMAZI, HAMIDREZA, ALI AKHAVAN FARID, and TECK SENG CHANG. "DECODING OF THE RELATION BETWEEN FRACTAL STRUCTURE OF CUTTING FORCE AND SURFACE ROUGHNESS OF MACHINED WORKPIECE IN END MILLING OPERATION." Fractals 27, no. 04 (June 2019): 1950054. http://dx.doi.org/10.1142/s0218348x19500543.

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Analysis of the surface quality of workpiece is one of the major works in machining operations. Variations of cutting force is an important factor that highly affects the quality of machined workpiece during operation. Therefore, investigating about the variations of cutting forces is very important in machining operation. In this paper, we employ fractal analysis in order to investigate the relation between complex structure of cutting force and surface roughness of machined surface in end milling operation. We run the machining operation in different conditions in which cutting depths, type of cutting tool (serrated versus square end mills) and machining conditions (wet and dry machining) change. Based on the obtained results, we observed the relation between complexity of cutting force and surface roughness of generated surface of machined workpiece due to engagement with the flute surface of end mill, in case of using square end mill in dry machining condition, and also in case of using serrated end mill in wet machining condition. The fractal approach that was employed in this research can be potentially examined in case of other machining operations in order to investigate the possible relation between complex structure of cutting force and surface quality of machined workpiece.

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NAMAZI, HAMIDREZA, ALI AKHAVAN FARID, and CHANG TECK SENG. "COMPLEXITY-BASED ANALYSIS OF THE INFLUENCE OF TOOL GEOMETRY ON CUTTING FORCES IN ROUGH END MILLING." Fractals 26, no. 05 (October 2018): 1850078. http://dx.doi.org/10.1142/s0218348x18500780.

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It is known that geometry of cutting tool affects the cutting forces in machining operations. In addition, the value of cutting forces changes during machining operations and creates a chaotic time series (signal). In this paper, we analyze the variations of the complex structure of cutting force signal in rough end milling operation using fractal theory. In fact, we analyze the variations of cutting force signal due to variations of tool geometry (square end mill versus serrated end mill). In case of each type of end mill, we did the machining operation in wet and dry conditions. Based on the results, the fractal structure of cutting force signal changes based on the type of milling tool. We also did the complexity analysis using approximate entropy to check the variations of the complexity of cutting force signal, where the similar behavior of variations between different conditions was obtained. The method of analysis that was used in this research can be applied to other machining operations to study the influence of different machining parameters on variations of fractal structure of cutting force.

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Huang, Zhengdong, Derek Yip-Hoi, and Ji Zhou. "A Graph-Based Approach for Capturing the Capability Envelope of a Machining Process." Journal of Manufacturing Science and Engineering 125, no. 2 (April 15, 2003): 272–88. http://dx.doi.org/10.1115/1.1557291.

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In this paper, we present a method to determine the capability envelope of a machining process which consists of a sequence of parameterized machining operations. First, operations as well as workpiece in a machining process are represented using a Parametric Feature Relational Graph (P-FRG). Second, the workpiece P-FRG within a process is updated step-by-step by mixing with operation P-FRGs as the operations in the process are successively applied to it. Since alternative setups may exist for an operation, a tree of workpiece P-FRGs can be generated for a process. All the P-FRGs at the leaf nodes of the tree together form the capability envelope of the machining process, that is, the envelope of the parts that can be produced using the process from a given initial workpiece. The parameter mappings, from the parameters of a machining process to the parameters of a part P-FRG in the capability envelope, are also given in this paper. The capability envelope can be applied to the integration of part design and process planning.

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Huang, Qiang, Jianjun Shi, and Jingxia Yuan. "Part Dimensional Error and Its Propagation Modeling in Multi-Operational Machining Processes." Journal of Manufacturing Science and Engineering 125, no. 2 (April 15, 2003): 255–62. http://dx.doi.org/10.1115/1.1532007.

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In a multi-operational machining process (MMP), the final product variation is an accumulation or stack-up of variation from all machining operations. Modeling and control of the variation propagation is essential to improve product dimensional quality. This paper presents a state space model and its modeling strategies to describe the variation stack-up in MMPs. The physical relationship is explored between part variation and operational errors. By using the homogeneous transformation approach, kinematic modeling of setup and machining operations are developed. A case study with real machined parts is presented in the model validation.

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Grigoriev, Sergey N., Vitaliy A. Dolgov, Pavel I. Umnov, Nikolay N. Fokin, and Olga S. Proshkina. "Evaluation of machining content and labor intensity of manufacturing products of new nomenclature when determining the cost of fulfilling an order at highly specialized machine-building enterprises." MATEC Web of Conferences 329 (2020): 03076. http://dx.doi.org/10.1051/matecconf/202032903076.

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The problem of operational calculation of machining content and labor intensity of manufacturing parts of a new nomenclature, mainly processed by cutting, at highly specialized machine-building enterprises when calculating the technical and economic indicators of the order is considered. The proposed estimation algorithm is based on the operational calculation of the machining content of cutting operations and the calculation of the reduced labor intensity of heat treatment operations, electroplating and lacquer coating, as well as locksmith and control operations.

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Zhang, Xu, Chao Liang, and Wei Yu Li. "Automatic Process Intermediate Model Generation in Process Planning." Advanced Materials Research 834-836 (October 2013): 1436–43. http://dx.doi.org/10.4028/www.scientific.net/amr.834-836.1436.

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In process planning of machined part, three-dimensional process intermediate models are necessary for process design, documentation, and downstream applications including clamping design, NC programing, and process analysis. An automatic process intermediate model generation method is proposed in this paper for machined part represented in B-Rep solid model. Machining features are recognized and classified according to process type. Process plan is expressed in terms of machining features and feature surface modification operations in solid model. Local modification operations are applied to part model to move, replace or remove feature surface resembling machining process. Process intermediate models are generated automatically in a batch manner by applying geometry and topology modification operations directly on B-Rep model for each machining operation. The proposed algorithm is implemented in a CAPP tool developed in solid modeler ACIS.

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Guergov, S., N. G. Nikolova, and G. Stefanov. "Application machining robots in processing operations." IOP Conference Series: Materials Science and Engineering 878 (July 22, 2020): 012058. http://dx.doi.org/10.1088/1757-899x/878/1/012058.

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Ermer, D. S. "A Century of Optimizing Machining Operations." Journal of Manufacturing Science and Engineering 119, no. 4B (November 1, 1997): 817–22. http://dx.doi.org/10.1115/1.2836829.

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Koshin, A. A., B. A. Chaplygin, and D. V. Isakov. "The design of abrasive machining operations." Russian Engineering Research 31, no. 9 (September 2011): 864–66. http://dx.doi.org/10.3103/s1068798x11090152.

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Hajdu, David, Tamas Insperger, and Gabor Stepan. "Robust stability analysis of machining operations." International Journal of Advanced Manufacturing Technology 88, no. 1-4 (April 20, 2016): 45–54. http://dx.doi.org/10.1007/s00170-016-8715-0.

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Sun, Qun, Wei Min Zhang, and Peng Zhong Li. "A Comprehensive Evaluation Approach for Machining Operation Based on Fuzzy AHP." Applied Mechanics and Materials 472 (January 2014): 1079–83. http://dx.doi.org/10.4028/www.scientific.net/amm.472.1079.

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This paper provides an evaluating approach for machining operations from the view point of the energy, resources consumption and ecological impact simultaneously. The carbon footprint (CFP) is selected as a unified indicator for the quantitative attributes for the system with consideration of various machining situations. Due to the machining operation alternatives are multiple-criteria decision-making (MCDM) problems in the presence of quantitative and qualitative attributes, the fuzzy AHP is chosen for the machining operation evaluation. In particular, as a method for evaluating machining operation, the carbon footprint per kilogram (CFK) is introduced and analyzed in terms of the feasibility to determine minimum energy, resources requirements and ecological impact.

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Mohan, E., and U. Natarajan. "Experimental Investigation on Boring Tool Vibration Control Using MR Fluid Damper." Journal of Advanced Manufacturing Systems 15, no. 01 (February 17, 2016): 13–25. http://dx.doi.org/10.1142/s0219686716500025.

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In the manufacturing industry, most of the components are made by machining operations. The performance of the product to a large extent is dependent on the accuracy and consistency of the machining processes. Various parameters are considered to achieve the high quality of the machining. Out of which, vibration is one of the important parameters that will lead poor quality of the product and also reduce the tool life. Vibrations are induced by metal cutting operation during machining. Turning operations and especially boring operations are associated with severe vibration-related problems. Boring operation is often done with a boring bar, which is necessarily long and slender so that it can fit into the multipart work piece geometry. Such tools are lack of dynamic stiffness and stability, this manufacturing operation is repeatedly plagued with self-excited vibrations known as chatter. Magnetorheological (MR) fluid is employed in this research work to control the vibration of a boring tool. The MR fluid damper has received great attention due to its ability to reversibly change from a free flowing, linear, viscous liquid to a semi-solid when exposed to magnetic fields in just a few milliseconds and was also found to be effective in suppressing tool vibration. Vibration control during machining process is an important tactic to suppress the chatter vibration. The aim of this approach is to reduce the relative displacements between the tool and the work piece during the machining process.

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Islam, Sumaiya, Raafat N. Ibrahim, and Raj Das. "Study of Abrasive Wear Mechanism through Nano Machining." Key Engineering Materials 462-463 (January 2011): 931–36. http://dx.doi.org/10.4028/www.scientific.net/kem.462-463.931.

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The objective of this paper is to understand the abrasive wear mechanism for producing a nano scale groove on a bulk material through nano machining. A nano indenter equipped with a nano scratching attachment was used for nano machining operation and in situ observation of the machined surfaces. Two different tools (Berkovich and Conical) with the same tip radius (100nm) but different edge geometries were used to machine both Copper and Nickel coatings. It was found that the percentage of elastic recovery was lower for Cu than Ni during this nano machining operations. Hence, the deformation mechanism in nano machining operation was identified as elasto-plastic in nature as opposed to the well established completely plastic mode of conventional machining operations. The pile up volume due to plastic deformation was utilized to distinguish between the ploughing and cutting modes of abrasive wear mechanisms. The results reveal that the ploughing mechanism was dominant for Cu and the cutting mechanism was dominant for Ni machining. Moreover, both mechanisms ploughing and cutting were the dominant modes of abrasive wear using the Berkovich tip compared to the Conical tip for producing a nano scale groove through nano machining.

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Zhou, Nan, and Xu Liu. "Feature-based automatic NC programming for aero-engine casings." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 233, no. 4 (April 28, 2018): 1289–301. http://dx.doi.org/10.1177/0954405418769949.

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Traditional numerical control (NC) programming methods based on commercial computer-aided manufacturing systems usually require a large number of manual interactions with high-skilled experience, which not only results in low efficiency but also unstable machining quality. Especially since the structural complexity and machining requirements keep increasing, the NC programming is becoming a bottleneck problem in machining complex parts like aero-engine casings. This article proposes a feature-based automatic NC programming approach for aero-engine casings. A machining feature classification towards the geometric and machining characteristics of aero-engine casings is given. Then, a feature-based method to extract machining regions by considering the alternatives in selecting turning or milling operations is discussed. After the construction of machining operations, an undercut region detection method is also presented to evaluate the interim machining effects reasoned by each individual machining operation for excessive cutting avoidance. By implementing the proposed approach, a feature-based NC programming system is developed on a commercial computer-aided manufacturing platform and a real aero-engine casing is chosen to demonstrate the feasibility of the proposed approach.

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Lo, Jie Shing, Chang Tai Jiang, and Kun Ling Wu. "Effect of slotted electrodes on improvement in machining performance of large-scale electrical discharge machining." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 233, no. 3 (January 10, 2018): 756–65. http://dx.doi.org/10.1177/0954405417752528.

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Under special conditions, electrical discharge machining is prone to experiencing poor machining removal rate. This creates debris deposits that lead to decreased machining efficiency and poorer machining quality in the machining workpieces during machining operations. Thus, the present study investigated the use of slotted electrodes to improve machining debris removal and compared the machining capability of such electrodes with that of cylindrical, nonslotted electrodes. Concurrently, oscilloscopes were used to measure the machining voltage and current signals during the machining process, in which waveforms were analyzed to gain insight into the electrical discharge condition of the electrical discharge machining. Compared with general cylindrical, nonslotted electrodes, the deep slotted electrodes improved the material removal rate on large-scale and hemisphere electrical discharge machining result by 91% and 116.7%, respectively. The experiment results also show that slotted electrodes are inapplicable to finishing operations. Therefore, during roughing operations, slotted electrodes should be used to lower machining time; during finishing operations, cylindrical, nonslotted electrodes should be used to adjust machining precision.

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HORIMOTO, Ryosuke, Yusaku SHINOKI, Ryuta SATO, and Keiichi SHIRASE. "S1310205 Study on adaptive revision of cutting conditions in machining operation planning which refers past machining operations." Proceedings of Mechanical Engineering Congress, Japan 2015 (2015): _S1310205——_S1310205—. http://dx.doi.org/10.1299/jsmemecj.2015._s1310205-.

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Yang, Xiang, Tobias Marx, Marco Zimmermann, Hans Hagen, and Jan C. Aurich. "Virtual Reality Animation of Chip Formation during Turning." Advanced Materials Research 223 (April 2011): 203–11. http://dx.doi.org/10.4028/www.scientific.net/amr.223.203.

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Virtual Reality (VR) technology allows the animation of machining operations. The kinematic of the machining operation and the geometry of the parts are allocated prevalently to VR using the Virtual Reality Modeling Language (VRML). In order to visualize the machining operation close to reality, the chip formation process needs to be animated as well. This paper presents the virtual reality animation of external cylindrical turning considering the chip formation and the results of the machining operation, such as the process forces. The chips are described numerically using JavaScript which is embedded into the VRML. The JavaScript accesses in addition to an experimentally generated database in order to display the results of the machining operation. The turning operation is visualized both in a non-immersive graphic user interface and an immersive Cave Automatic Virtual Environment (CAVE).

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Klocke, Fritz, Stephan Kratz, Thomas Auerbach, Sascha Gierlings, Guido Wirtz, and Dražen Veselovac. "Process Monitoring and Control of Machining Operations." International Journal of Automation Technology 5, no. 3 (May 5, 2011): 403–11. http://dx.doi.org/10.20965/ijat.2011.p0403.

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In today’s production, the overall technical aim of a monitoring and control system is to introduce robust manufacturing with maximum performance. Generating targeted values means to transfer production know-how to the application of monitoring and control strategies, whereas such systems include a decisive potential for increasing added value in production companies. Especially in complex processes, important operational sequences should be analyzed and optimized online by means of system analysis and control. This paper reviews certain aspects and introduces recent investigations on process monitoring and control strategies for milling, drilling and broaching operations.

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Bonetti, Ivandro, Valter Vander Oliveira, and Adriano Fagali Souza. "Evaluation of the Cutting Force and Geometric Error for Roughing Operation by Plunge Milling." Advanced Materials Research 223 (April 2011): 350–58. http://dx.doi.org/10.4028/www.scientific.net/amr.223.350.

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Nowadays there has been noticeable an expressive technological development in the cutting process to machine moulds and dies, through applying new materials, cutting tools and machining strategies. The rough operations depict an important portion in the machining time of these pieces. In front of this scenario, a new milling rough operation in the tool’s axial direction represents a possibility to optimize this machining process so as decreasing the machining time and increasing the material removes rates. A few scientific studies have been carrying out at this thematic, limited to a technical-commercial researches. Therefore this work contributes with the knowledge in this machining process through an experimental trial analyses. In special it studies the cut direction effects during climb and conventional milling in these operations. The result quantifies the cutting parameters influence at the cutting force and error form.

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Jadhav, Prasad Anant, and Deivanathan Ramachandran. "Sustainability Enhancement in Machining of DTC Titanium Alloy through Integrated Impact Assessment of Various Lubrication Strategies." ECS Transactions 107, no. 1 (April 24, 2022): 13239–50. http://dx.doi.org/10.1149/10701.13239ecst.

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Machining difficult-to-cut materials like Ti-6AL-4V is characterized by various negative environmental and social impacts, leaving a burden on the environment. Stringent ecological conditions imposed by the government made it necessary to develop a sustainable machining solution. The word "sustainability" refers to the unit process, which is long-term viable from an economic, environmental, social, and quality point of view. Furthermore, because production and operations managers need to know how the machining process contributes to Sustainability, the necessity to measure the Sustainability of machining activities has been recognized. As a result, this study presents a novel paradigm for evaluating the impact of various lubrication strategies on machining operations from an economic, environmental, and product perspective, which measures the Machining operation's Sustainability. The milling process is the focus of this study due to its frequent application in complex industrial jobs. The MQL milling with the lowest impact score of 27.6 is found sustainable.

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KIEW, CHAI LIP, AKSHAYEN BRAHMANANDA, KH TAUHID ISLAM, HAO NAM LEE, SAMUEL ANTHONY VENIER, ASHIR SARAAR, and HAMIDREZA NAMAZI. "FRACTAL-BASED ANALYSIS OF THE RELATION BETWEEN THE FRACTAL STRUCTURES OF MACHINED SURFACE AND TOOL WEAR IN TURNING OPERATION." Fractals 27, no. 06 (September 2019): 1950094. http://dx.doi.org/10.1142/s0218348x19500944.

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Obtaining the optimum surface finish is one of the key factors in machining operations. For this purpose, engineers apply a set of machining parameters to obtain the desired surface quality. On the other hand, tool faces wear during machining operation that itself affects the surface quality of machined surface. Therefore, tool wear and surface finish of machined workpiece should be related to each other. In this research, we employ fractal analysis in order to investigate the correlation between variations of complex structure of machined surface and tool wear in turning operation. In fact, we changed the machining parameters between different experiments and investigated how the machined surface is correlated with the tool wear. Based on the obtained results, we can see the correlation between the complexity of machined surface and tool wear by increasing the depth of cut, spindle speed and feed rate in different experiments. The method of analysis employed in this research can be widely applied to other machining operations in order to find the correlation between the surface quality of machined surface and tool wear.

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Narita, Hirohisa, and Hideo Fujimoto. "Analysis of Environmental Impact due to Machine Tool Operation." International Journal of Automation Technology 3, no. 1 (January 5, 2009): 49–55. http://dx.doi.org/10.20965/ijat.2009.p0049.

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The algorithm we propose calculates the environmental burden due to machine tool operations. The environmental burden analyzer we then developed determines the environmental impact of dry machining, minimum quantity lubricant (MQL) machining, and wet machining on the impact categories of global warming, acidification, eutrophication, photochemical oxidants, human toxicity, and ecotoxicity. We explain the features of impact categories as they relate to machining operations and discuss machining methods for lower the environmental burden of machine tool operations.

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Gurumurthy, Sathyavel, Sachin Mohan, and Mohamed Yasar Arafath. "Reduction of Rejections in Main Shaft Machining Operations." Applied Mechanics and Materials 813-814 (November 2015): 1198–202. http://dx.doi.org/10.4028/www.scientific.net/amm.813-814.1198.

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The work presented here is carried out in ASHOK LEYLAND Company. The main idea of the work is to find solutions for reducing the rejection of main shafts during its machining operation which is caused due to many factors such as operator carelessness, span undersize/oversize, teeth overlap etc. After thorough analysis of all operations that are carried out in main shaft machining, we proposed and carried out some solutions for PPM reduction of rejections in main shaft that could feasibly reduce the PPM rejections of Main shaft.

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BISSOONAUTH, KUSHAL, and HAMIDREZA NAMAZI. "COMPLEXITY-BASED DECODING OF THE EFFECT OF MACHINING PARAMETERS ON THE MACHINED SURFACE IN MILLING OPERATION." Fractals 27, no. 05 (August 2019): 1950076. http://dx.doi.org/10.1142/s0218348x19500762.

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Acquiring the desired surface quality is one of the major efforts in machining of materials. Milling operation is a widely used machining operation to shape the material in different forms. Machining parameters and conditions are two major factors that affect the surface quality of machined workpiece in milling operation. In this paper, we analyze the surface finish of machined workpiece under the variations of machining parameters and conditions (wet and dry conditions) in milling operation. For our analysis, we use fractal dimension as the indicator of complexity of structure. Based on the obtained results, in the case of wet machining condition, by increasing the depth of cut, feed rate and spindle speed in separate experiments, the fractal dimension of machined surface increases. However, the obtained results in the case of dry machining condition are not consistent with the variations of different machining parameters. The obtained results will be discussed in terms of complex structure of machined surface. The method of analysis employed in this research can be investigated with other machining operations to check how the machining parameters and conditions affect the surface quality of machined surface.

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Takata, Shozo. "Generation of a Machining Scenario and Its Applications to Intelligent Machining Operations." CIRP Annals - Manufacturing Technology 42, no. 1 (January 1993): 531–34. http://dx.doi.org/10.1016/s0007-8506(07)62502-5.

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Ong, S. K., and A. Y. C. Nec. "Automating set-up planning in machining operations." Journal of Materials Processing Technology 63, no. 1-3 (January 1997): 151–56. http://dx.doi.org/10.1016/s0924-0136(96)02616-7.

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Chiu, Nan-Chieh, Shu-Cherng Fang, and Yuan-Shin Lee. "Sequencing parallel machining operations by genetic algorithms." Computers & Industrial Engineering 36, no. 2 (April 1999): 259–80. http://dx.doi.org/10.1016/s0360-8352(99)00132-1.

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Kondakov, A. I., A. V. Zaitsev, and S. N. Sharapov. "FORMATION OF PROJECTED MACHINING OPERATIONS INSTRUMENTAL EQUIPMENT." Spravochnik. Inzhenernyi zhurnal, no. 275 (2020): 42–46. http://dx.doi.org/10.14489/hb.2020.02.pp.042-046.

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Determination of the composition and structure of technological operations instrumental equipment is the most important stage of their design. The level of these design procedures formalization does not meet modern requirements, which leads to an unreasonable increase in production costs. The latter can be reduced by building operations on a reasonable combination of simple and instrumental technological transitions. The article analyzes various options for the construction of operations and their impact on the appropriate instrumental equipment. It is shown that the automated search for elements of instrumental equipment can be efficiently organized on the basis of the technological objects predicate representation. The development of concentrated operations on highly automated CNC machines should be carried out from instrumental transitions of manufacturing technological complexes of machined surfaces, for which a methodical sequence of design actions is proposed.

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Zargarbashi, S. H. H., Waseem Khan, and Jorge Angeles. "Posture optimization in robot-assisted machining operations." Mechanism and Machine Theory 51 (May 2012): 74–86. http://dx.doi.org/10.1016/j.mechmachtheory.2011.11.017.

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Moradnazhad, Mariyeh, and Hakki Ozgur Unver. "Energy efficiency of machining operations: A review." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 231, no. 11 (January 28, 2016): 1871–89. http://dx.doi.org/10.1177/0954405415619345.

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Manufacturing processes are among the most energy intensive on earth. As negative ecological and economic impacts increase, reducing energy consumption is becoming critically important. In this article, a comprehensive overview of energy-saving strategies and opportunities for increasing energy efficiency in manufacturing operations is presented, with a focus on metal cutting processes. The issues and approaches involved in energy efficiency of machine tools and machining operations are reported in the literature and a structured research methodology is proposed for this purpose including prediction and modelling of machine energy consumption, determining the relationship between process energy consumption and process variables for material removal processes and optimization of cutting parameters in order to reduce energy consumption. Numerous techniques for increasing energy efficiency in manufacturing processes are identified and summarized, strengths and weaknesses of previous studies are discussed and potential avenues for future research are suggested.

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Pop, A., A. Pop, D. Savu, and V. Dolga. "Machining operations using Yamaha YK 400 robot." IOP Conference Series: Materials Science and Engineering 147 (August 2016): 012068. http://dx.doi.org/10.1088/1757-899x/147/1/012068.

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Goyal, S. K. "The economics of two-pass machining operations." Engineering Costs and Production Economics 8, no. 4 (July 1985): 263–67. http://dx.doi.org/10.1016/0167-188x(85)90051-5.

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Drossel, W. G., and V. Wittstock. "Adaptive spindle support for improving machining operations." CIRP Annals 57, no. 1 (2008): 395–98. http://dx.doi.org/10.1016/j.cirp.2008.03.051.

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Altintas, Y., P. Kersting, D. Biermann, E. Budak, B. Denkena, and I. Lazoglu. "Virtual process systems for part machining operations." CIRP Annals 63, no. 2 (2014): 585–605. http://dx.doi.org/10.1016/j.cirp.2014.05.007.

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Miodragović, Goran R., Violeta Đorđević, Radovan R. Bulatović, and Aleksandra Petrović. "Optimization of multi-pass turning and multi-pass face milling using subpopulation firefly algorithm." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 5 (May 15, 2018): 1520–40. http://dx.doi.org/10.1177/0954406218774378.

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In this paper, Subpopulation Firefly Algorithm is proposed for optimization of machining parameters in multi-pass turning and multi-pass face milling operations. Basic Firefly Algorithm is modified with the aim to avoid space of local minimum and to meet the operation constraints in each iteration step. For that purpose, the following modifications are made: one firefly population is divided into two, a crossover operator is introduced and the searching for new design variables is continued until constraint functions are fulfilled. For turning operation, optimization is carried out for one objective: minimization of production cost. For face milling operation, multi-objective optimization is used for minimizing production cost and machining time, and maximizing profit rate at the same time. In both cases of multi-pass machining operations, optimization process implies meeting all operation constraints. For multi-pass turning operation, the best results from literature are confirmed with good convergence and low value of standard deviation. For multi-pass milling operation, better results are achieved compared with existing results from literature. The proposed algorithm showed capability of achieving global optimum for complex optimization problems.

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AHAMED, ASHFAQ, ATHIF AHAMED, DILAN KATUWAWALA, TEOH TIONG EE, ZI HAN TAN, ISHWIN SINGH BAJAJ, THEJAN WICKRAMASURENDRA, and HAMIDREZA NAMAZI. "COMPLEXITY-BASED ANALYSIS OF THE INFLUENCE OF MACHINING PARAMETERS ON THE SURFACE FINISH OF DRILLED HOLES IN DRILLING OPERATION." Fractals 27, no. 06 (September 2019): 1950087. http://dx.doi.org/10.1142/s0218348x19500877.

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Drilling is a famous and widely used machining operation to make holes in the workpiece. The size and surface quality of drilled hole are two factors that should be considered mainly. In this research, we examine the effect of different machining parameters and conditions on the surface quality of generated hole in drilling operation. For this purpose, we employ fractal theory and investigate how the variations of depth of cut and spindle speed affect the complexity of surface texture of drilled holes in wet and dry machining conditions. Based on the obtained results, the increment of depth of cut and spindle speed in case of wet and dry machining causes lower complexity on the generated surface from drilling. In addition, the generated surface from dry machining is more complex than the generated surface from wet machining. The obtained method in this research can be applied to other machining operations in order to investigate the effect of machining parameters and conditions on the surface quality of machined workpiece.

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Journal articles on the topic 'Machining operations'

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