Academic literature on the topic 'Machine-tools Machining. Turning (Lathe work)'
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Journal articles on the topic "Machine-tools Machining. Turning (Lathe work)"
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Sutopo, Sutopo, Bayu Rahmat Setiadi, and Muhammad Hanzla. "Upgrading Manual Turning Machine Towards IoT-Based Manufacturing." Jurnal Pendidikan Teknologi dan Kejuruan 26, no. 2 (2020): 155–61. http://dx.doi.org/10.21831/jptk.v26i2.27334.
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Technological independence is one aspect of the challenges of the industrial revolution era 4.0. Digitalization, robotization, big data, internet of things (IoT), and efficiency of work processes require an update in technology. If everything is held in the fulfillment of practicum facilities, it will undoubtedly cost a prohibitive fee. Many of the tools and machines found in learning machining practices in Vocational High Schools (VHS) in Indonesia are still a conventional machine. This study provides a breakthrough solution in the effectiveness and efficiency of traditional machining of the lathe that starts with a preliminary identification of literature, selection according to inclusion and exclusion criteria, coding, themes classifications, and supplementary areas. Through the literature review methodology, this article has the main objective of identifying the needs in architecture and the need for supporting devices on conventional lathes based on the IoT as well as safe, comfortable, and modern work areas in lathe machining practices.
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Vasilko, Karol. "Highly Productive Tools For Turning And Milling." Technological Engineering 12, no. 2 (2015): 5–9. http://dx.doi.org/10.1515/teen-2015-0009.
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Abstract Beside cutting speed, shift is another important parameter of machining. Its considerable influence is shown mainly in the workpiece machined surface microgeometry. In practice, mainly its combination with the radius of cutting tool tip rounding is used. Options to further increase machining productivity and machined surface quality are hidden in this approach. The paper presents variations of the design of productive cutting tools for lathe work and milling on the base of the use of the laws of the relationship among the highest reached uneveness of machined surface, tool tip radius and shift.
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Kasijanto, Kasijanto, Sadar Wahjudi, Listiyono Listiyono, and Muhammad Fakhruddin. "Pengaruh Parameter Pemesinan terhadap Kualitas Hasil Potong Mesin Bubut Maximat V13 pada Benda Kerja Poros PVC." Jurnal Energi dan Teknologi Manufaktur (JETM) 2, no. 02 (2019): 19–24. http://dx.doi.org/10.33795/jetm.v2i02.43.
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Metal cutting process (cutting process) is to cut metal to get the shape and size and quality of the planned cutting surface. The metal cutting process is carried out with special tools, according to the type of cutting process. So the tools for one process cannot be used in another process, even for similar processes, the tools cannot be exchanged if the cutting plans are not the same. Lathe process is a machining process to produce cylindrical machine parts which are carried out using a Lathe. Its basic form can be defined as the machining process of the outer surface of cylindrical or flat lathe objects. Polyvinyl Chloride, commonly abbreviated as PVC, is the third-order thermoplastic polymer in terms of total usage in the world, after Polyethylene (PE) and Polypropylene (PP). Worldwide, more than 50% of PVC produced is used in construction. PVC is produced by polymerizing vinyl chloride monomers (CH2 = CHCl). Because 57% of its mass is chlorine, PVC is the polymer that uses the lowest petroleum feedstock among other polymers. This research follows up the selection of configuration of the lathe machining process using plastic work pieces. In this study, Maximat V13 lathe and PVC type plastic were used. The variation of machining processes are spindle rotation (320, 540, and 900 rpm), feeding speed (0.07, 0.14, and 0.28), the use of tool types (carbide and HSS) and cooling (without cooling, coolant, and oil). So, with this research, it is expected that the optimal parameters in determining the configuration of the lathe machining process on a PVC work piece to produce a good turning surface can be achieved
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Shasheekant, Sawant Akshay. "Analyzing the Vibration Effect of Cutting Tool on Surface Roughness of Turning Work Piece in Lathe Machine." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 1654–57. http://dx.doi.org/10.22214/ijraset.2021.36446.
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Tool condition observation systems area unit essential in small milling applications. A tool's slenderness needs high-precision observation systems for on-line measurements. In most cases, tool health is indirectly calculable by process and analyzing the cutting method parameters cutlery wear may be a essential development that influences the standard of the machined half. Vibration signals from metal cutting processes are investigated for varied functions, together with in-process tool wear monitoring. Reducing the machining energy consumption (MEC) of machine tools for turning operations is important to market manufacturing producing. during this study, the link between vibration and gear wear is investigated throughout high-speed dry turning by victimization applied math parameters. it's aimed to show however tool wear and therefore the work piece surface roughness changes with tool vibration signals. For this purpose, a series of experiments were conducted in a lathe machine. Modal analysis of each traditional and wear cutlery are going to be perform for locating Natural frequency of cutting tools in ANSYS 19 code. Experimental testing of cutlery are going to be perform using FFT instrument. afterward the comparative analysis are going to be dispensed between the experimental and analysis results and afterward the result & conclusion are going to be drawn.
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NARESH, Hazari, and Padhy CHINMAYA PRASAD. "Lathe Parameters Optimization for UD-GFRP Composite Part Turning with PCD Tool by Taguchi Method." INCAS BULLETIN 12, no. 4 (2020): 135–44. http://dx.doi.org/10.13111/2066-8201.2020.12.4.12.
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The aerospace and automobile sectors are widely utilized the polymer composites. The composite materials, like unidirectional glass fiber reinforced polymer (UD-GFRP), is difficult to machine due to its anisotropic that is non-homogeneous character and such material requires special cutting tools. The proposed work is going to examine the tool wear, quality of the surface and forces generated in the various stages of inputs given to the machining of unidirectional glass fiber reinforced polymer (UD-GFRP) composites. The assessment of the machining incorporates tool wear investigations, surface roughness investigations and quality of material by varying input parameters. The Taguchi optimization technique with experimental design of L9 orthogonal array employed. The parameters range identified by trail runs and observations of conducted machining utilized for optimization. The Turning process parameters of cutting velocity or speed, rate of tool movement or feed rate and cutting depth on composite part or depth of cut were considered. The other factors, like tool material i.e., Poly-Crystalline Diamond (PCD) tool, its cutting regime (dry), profile of cutting tool are considered as constant parameters. The responses, like tool wear, surface finish, and cutting force, were measured against various input parameters, while machining the composite (UD-GFRP) composite part. The objective of this research is to establish relationship among various operating parameters to achieve desired results. That is major focus of the work on the economic condition for getting better values based on setting of input parameters.
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Wang, Song Hao, and Wei Bin Chen. "A Multi-Tip Turning Tool Structure for Thin and Long Pieces." Advanced Materials Research 683 (April 2013): 841–44. http://dx.doi.org/10.4028/www.scientific.net/amr.683.841.
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This paper presents the development of a Multi-Tip Tool Structure for fast turning process, to prolong overall tool life as well as to shorten machining time. Instead of one cutting edge in regular turning process, several cutting tools are used simultaneously in this assembly. With this arrangement, radial cutting forces are balanced with each other and the steady or follower rests in a regular lathe can be eliminated, for long and thin work pieces. Make the tooling structure more compact and more feasible for multi-head CNC turning or combo machining.
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Wang, Song Hao, and Wei Bin Chen. "Introduction of a CNC Multi-Tip Turning Tool Structure with Option of Automatic Follower Rest." Advanced Materials Research 694-697 (May 2013): 1808–11. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.1808.
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A CNC controlled Multi-Tip Tool Structure for fastturning process is presented in this paper, to prolong overall tool life aswell as to shorten machining time. Instead of one cutting edge in regularturning process, several cutting tools are used simultaneously in thisassembly. With this arrangement, radial cutting forces are balanced with eachother and the steady or follower rests in a regular lathe can be eliminated,for long and thin work pieces. Make the tooling structure more compact and morefeasible for multi-head CNC lathe or combo machining.
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Kalidasan, R., M. Yatin, D. K. Sarma, and S. Senthilvelan. "Effect of Offset Distance on Cutting Forces and Heat Generation in Multi-Tool Turning Process." Applied Mechanics and Materials 592-594 (July 2014): 211–15. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.211.
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Productivity enhancement assumes a paramount importance in today’s competitive industrial world. The aim of this work is to improve productivity in a conventional lathe with two single point cutting tools machining a workpiece simultaneously. An additional tool holding fixture is fabricated and integrated so that distance between the two cutting tools can be varied and has a provision to provide individual depth of cut. Experiments were performed on gray cast iron workpiece at different offset distances between the cutting tools, at a particular cutting speed, feed rate and depth of cut. In the multi-tool turning process, lagging rear cutting tool experiences lesser cutting force than leading front cutting tool. This behaviour is due to the machining of front cutting tool preheat as well as reduction of effective cutting speed while machining with rear cutting tool. With increase in offset distance, moment acting on the work piece contributes to increase in resistance against machining and hence front tool experiences higher force than rear cutting tool.
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Vinod Kumar, M. A. "ANFIS for Predicting Surface Roughness in Turning Operation Performed on CNC Lathe." Applied Mechanics and Materials 110-116 (October 2011): 1793–98. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.1793.
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For mass production, mainly automation is used, in which cutting parameters are set to obtain required surface roughness. The parts like IC Engine piston, cylinders require very smooth surface finish. The same is the case of sleeves, collets etc., of machine parts. These are made by automatic machining operations. To get approximate value of required surface roughness, the cutting parameters that are to be set with help of Adaptive Neuro Fuzzy Inference System (ANFIS) that is designed by using Fuzzy Logic Toolbox. The Fuzzy Logic Toolbox is a collection of functions built on the MATLAB numeric computing environment. It provides tools to create and edit fuzzy inference systems (FIS) within the framework of MATLAB. ANFIS constructs a relation between given parameters (input data and output data), when it is trained with experimentally predetermined values. It consists of different functions, of which bell and triangular membership functions are used for our purpose. The comparison of accuracy of predicted values for both membership functions are performed using testing data. The training and testing data was obtained performing operation on CNC lathe for 50 work pieces of which 40 were used for training ANFIS and the remaining 10 were used for comparing the accuracy of both Bell and Triangular membership functions. The detailed analysis and procedure is presented.
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Saxena, Arti, YM Dubey, Manish Kumar, and Abneesh Saxena. "Optimization of input machining parameters in SBCNC-60 for turning and drilling on P8 (H-13,HSS) material." International Journal of Electrical Engineering & Education 58, no. 2 (2021): 640–63. http://dx.doi.org/10.1177/0020720920988487.
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Today’s technology of automobile manufacturing industries depends mainly on a metal cutting operation like turning and drilling. This paper aims to improve turning and drilling operations in industries where necessity is to increase productivity by improving the metal removal rate. This paper-work uses the Taguchi method to analyze the input control parameter and optimize the significant ones to obtain the desired output. Taguchi method is a broadly used technique for experimental design and analysis of experimental data to improve the performance of machining operations like face turning, drilling, etc. in a CNC machine by taking input control factor cutting speed (CS), feed rate (FR), depth of cut (DOC) and then find out the significant ones to optimize machining operation. In this paper, CNMG190616-M5-TM2501 and SD205A-1050–056-12R1-P cutting tool are used for turning and drilling operation respectively for H-13 (P8) material, and then by applying Taguchi L9 array and further analysis using ANOVA and validation test through regression model is done on input control parameters to obtain better optimum performance of SBCNC 60 lathe machine.
Dissertations / Theses on the topic "Machine-tools Machining. Turning (Lathe work)"
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Song, Sukhan. "Intelligent machining control for turning process /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.
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Park, Jong-Suh. "The Prediction of Chatter Stability in Hard Turning." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5235.
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Despite a large demand from industry, a realistic chatter modeling for hard turning has not been available due to the complexity of the problem, which is mainly caused by flank wear and nonlinearity in hard turning. This thesis attempts to develop chatter models for predicting chatter stability conditions in hard turning with the considerations of the effects of flank wear and nonlinearity. First, a linear model is developed by introducing non-uniform load distribution on a tool tip to account for the flank wear effect. Second, a nonlinear model is developed by further incorporating nonlinearity in the structure and cutting force. Third, stability analysis based on the root locus method and the describing function approach is conducted to determine a critical stability parameter. Fourth, to validate the models, a series of experiment is carried out to determine the stability limits as well as certain characteristic parameters for facing and straight turning. From these, it is shown that the nonlinear model provides more accurate predictions than the linear model, especially in the high-speed range. Furthermore, the stabilizing effect due to flank wear is confirmed through a series of experiments. Fifth, to fully account for the validity of linear and nonlinear models, an empirical model is proposed to fit in with the experimental stability limits in the full range of cutting speed. The proposed linear and nonlinear chatter models will help to improve the productivity in many manufacturing processes. In addition, chatter experimental data will be useful to develop other chatter models in hard turning.
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Skládaný, Jakub. "Volba řezných nástrojů, podmínek a obráběcího stroje pro soustružení cívek." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2016. http://www.nusl.cz/ntk/nusl-241670.
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The purpose of work is to provide a manufacturing processes, cutting and machine tools for machining of small parts. The proposals are designed for high volume production with a maximum productivity. The first half is largely nature of the search, which analyzes issue of tools and machines for production of rotary parts. Further proposals are developed manufacturing processes for different types of machines including multi-spindle lathes. The main result of this work is to determine appropriate type of machine for the production of specified parts.
Books on the topic "Machine-tools Machining. Turning (Lathe work)"
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Kosmol, Jan. Sterowanie adaptacyjne jako środek dynamicznej optymalizacji parametrów skrawania na przykładzie zgrubnego wytaczania i toczenia. Politechnika Śląska, 1989.
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Lukin, James, b. 1828, ed. and Britannia Company (Colchester England), eds. Turning lathes: A guide to turning, screw-cutting, metal-spinning, ornamental turning, &c. : and including the 1896 Britannia Company catalogue. 4th ed. Astragal Press, 1994.
Find full textConference papers on the topic "Machine-tools Machining. Turning (Lathe work)"
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He, Yuanfeng, and Wenwu Zhang. "Research on a Novel High-Speed Pulsating Turning Technology." In ASME 2015 International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/msec2015-9336.
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As one of the most important machining methods, common turning has been applied on vast machining fields. Parts in revolving shape can be easily machined using lathe machine. But severe cutting heat is often generated by the contact of tool and work-piece in the procedure of turning. High cutting heat not only affects tool life and processing quality but also leads to low cutting efficiency and high energy consumption. As to the demands of processing work-piece in large scale like marine shaft, heavy lathe is utilized. Considering the inertia load and the stability of the whole machine, speed of spindle is limited and the cutting efficiency is limited thusly because cutting speed is determined by rotate speed of spindle with fixed tool. A novel high-speed pulsating turning technology (HSPT) was proposed in this paper. The contact relation between tool and work-piece was modified to be pulsating instead of continuous in common methods. The advantages of HSPT include lower energy consumption, less cutting heat, higher cutting speed compared with common method. Features of energy consumption, contact duration of tools and work-piece, surface roughness, etc. was investigated through theoretical analysis and experiment study, which have verified the advanced performance of HSPT.
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Srinidhi, R., Vishal Sharma, M. Sukumar, and C. S. Venkatesha. "Correlative Flank Wear Analysis of Single Point Turning Inserts Using Acoustic Emission and Artificial Intelligence Techniques." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-67543.
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Wear mechanism of a cutting tool is highly complex in that the processes of tool wear results from interacting effect of machining configurations. Various output generated by the study and analysis of each tool is extremely useful in analyzing the tool characteristics in general and to make efforts to obtain the estimated tool life in particular. The gradual process of tool wear has adverse influence on the quality of the surface generated and on the design specifications in the work piece dimensions and geometry, and causes, at the worst case, machine breakdown. Advanced manufacturing demands proper use of the right tool and emphasizes the need to check the wear rate. A scientific method of obtaining conditions for an optimal machining process with proper tools and control of machining parameters is essential in the present day manufacturing processes. Many problems that affect optimization are related to the diminished machine performance caused by worn out tools. One of the indirect methods of tool wear analysis and monitoring is based on the acoustic emission (AE) signals. The generation of the AE signals directly in the cutting zone makes them very sensitive to changes in the cutting process and provides a means of evaluating the wear of cutting tools. Wear parameters obtained in the process are analyzed with the output generated by using Multi Layer Perceptron (MLP) based back propagation technique and Adaptive Neuro Fuzzy Interference System (ANFIS). The results obtained from these methods are correlated for the actual and predicted wear. Experiments have been conducted on EN8 and, EN24 using Uncoated Carbide, Coated carbide and Ceramic inserts (Kennametal, India make) on a high speed lathe for the most appropriate cutting conditions. The AE signal analysis (considering signal parameters such as, ring down count (RDC), rise time (RTT), event duration (ED) and energy (EG). Flank wear in tools and corresponding cutting forces for each of the trials are measured and are correlated for various combinations of tools and materials of work piece.
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Xu, Xun W., and Jun Wang. "Development of a G-Code Free, STEP-Compliant CNC Lathe." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60346.
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The paper describes a STEP-compliant CNC lathe that demonstrated a G-Code free machining scenario. This research work was conducted in two parts. The first involved retrofitting an existing CNC lathe with a more open platform control system — Compumotor Motion Control system, which is capable of interfacing with other CAPP/CAM programs through languages such as Visual Basic, Visual C++ and Delphi. The control system is programmable using its own motion control language — 6K Motion Control language. A library of 6K functions has been developed to cater for different turning operations. The second part of the research is the development of a “STEPcNC Converter,” which can understand and process STEP-NC codes, and interface with the CNC controller through an interface. It makes use of STEP-NC information such as “Workplan,” “Workingstep,” machining strategy, machining features and cutting tools that is present in a STEP-NC file. The Application Interpreted Model (AIM) of STEP-NC has been used.
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Satyanarayana, Kosaraju, Anne Venu Gopal, and Popuri Bangaru Babu. "Finite Element Simulation of Cutting Forces in Turning Ti6Al4V Using DEFORM 3D." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-62868.
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Titanium alloys are widely used in aerospace industry due to their excellent mechanical properties though they are classified as difficult to machine materials. As the experimental tests are costly and time demanding, metal cutting modeling provides an alternative way for better understanding of machining processes under different cutting conditions. In the present work, a finite element modeling software, DEFORM 3D has been used to simulate the machining of titanium alloy Ti6Al4V to predict the cutting forces. Experiments were conducted on a precision lathe machine using Ti6Al4V as workpiece material and TiAlN coated inserts as cutting tool. L9 orthogonal array based on design of experiments was used to evaluate the effect of process parameters such as cutting speed and feed with a constant depth of cut 0.25 mm and also the tool geometry such as rake angle on cutting force and temperature. These results were then used for estimation of heat transfer coefficient and shear friction factor constant, which are used as boundary conditions in the process of simulation. Upon simulations a relative error of maximum 9.07% was observed when compared with experimental results. A methodology was adopted to standardize these constants for a given process by taking average values of shear friction factor and heat transfer coefficient, which are used for further simulations within the range of parameters used during experimentation. A maximum error of 9.94% was observed when these simulation results are compared with that of experimental results.
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Håkansson, L., I. Claesson, L. Pettersson, and T. Lagö. "Active Control Machine Tool Chatter Piezo Ceramic Actuators in Tool Holder Shank." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/vib-8307.
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Abstract In the turning operation chatter or vibration is a frequent problem, which affects the result of the machining, and, in particular, the surface finish. Tool life is also influenced by vibration. Severe acoustic noise in the working environment frequently occurs as a result of dynamic motion between the cutting tool and the workpiece. These problems can be reduced by active control of machine-tool vibration. Adaptive feedback control based on the filtered-x LMS-algorithm, enables a reduction of the vibration by up to 40 dB at 1.5 kHz and by approximately 40 dB at 3 kHz. The active control performed a broadband attenuation of the sound pressure level by up to 35 dB. A significant improvement of the work-piece surface was also observed. In the active control of tool vibration a tool holder construction based on integrated high magnetostrictive actuators was used. However, both the physical features and properties of a active tool holder construction based on high magnetostrictive actuators and the fact that this type of actuators generally have a non-linear behaviour highly reduce its applicability to the general lathe and turning operation. Therefor, a new generation embedded active tool holder shanks based on piezo ceramic actuators have been developed. Based on spectrum estimates, both coherence spectrum and frequency response function estimates has been calculated for both the old tool holder construction and the new generation active tool holder shank. From the results it follows that the phase delay is smaller and the linearity of the new generation active tool holder shank are superior compared to the old technology. It is also obvious that physical features and properties of new generation embedded active tool holder shanks based on piezo ceramic actuators fits the general lathe application.
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Nakagawa, Kensuke, Taichi Mori, Yoshitaka Morimoto, et al. "Study on Turning of Non-Axisymmetric Three-Dimensional Curved Surfaces." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11100.
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Abstract Conventional machining of complex parts having three-dimensional curved surfaces is done by two processes using a five-axis machining center and a grinding machine. Although these tools make it possible to machine a product with complicated profiles, the tool path is complex and the process is time consuming. Also, because the amount of movement accompanying the control of the tool position increases, the productivity decreases. Therefore, we developed a CNC lathe for high-speed and high-efficiency machining in a previous study. The NC positioning table on which the tool is mounted is synchronized with the rotation angle of the main spindle; thus, the developed CNC lathe can form a three-dimensional curved surface on a workpiece. However, the previous study did not evaluate the surface profile of a product created with the developed CNC lathe. In this study, for the purpose of improving the contour accuracy of the machined workpiece, we propose a method for on-machine measurement and compensated machine tool position using the measurement result. The proposed on-machine measurement method is a non-contact method that employs a line laser displacement sensor. In the proposed method, the workpiece attached to the spindle of the CNC lathe is moved to a sensor reference position and measured. The measurement position is recorded in the NC machining program; thus, it is possible to adjust the tool position during machining to reduce the machining error by feeding the measurement results back to the machining program. Because machining is started in a state offset from the machining origin, the compensated machining can deal with both overcutting and undercutting of the workpiece. Testing of the proposed compensated method confirmed improvement in the desired profile accuracy.
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Dlamini, Niniza S. P., Iakovos Sigalas, and Andreas Koursaris. "Cutting Tool Wear and Mechanisms of Chip Formation During High-Speed Machining of Compacted Graphite Iron." In ASME/STLE 2007 International Joint Tribology Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/ijtc2007-44026.
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Cutting tool wear of polycrystalline cubic boron nitride (PcBN) tools was investigated in oblique turning experiments when machining compacted graphite iron at high cutting speeds, with the intention of elucidating the failure mechanisms of the cutting tools and presenting an analysis of the chip formation process. Dry finish turning experiments were conducted in a CNC lathe at cutting speeds in the range of 500–800m/min, at a feed rate of 0.05mm/rev and depth of cut of 0.2mm. Two different tool end-of-life criteria were used: a maximum flank wear scar size of 0.3mm (flank wear failure criterion) or loss of cutting edge due to rapid crater wear to a point where the cutting tool cannot machine with an acceptable surface finish (surface finish criterion). At high cutting speeds, the cutting tools failed prior to reaching the flank wear failure criterion due to rapid crater wear on the rake face of the cutting tools. Chip analysis, using SEM, revealed shear localized chips, with adiabatic shear bands produced in the primary and secondary shear zones.
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Park, Hyung Wook, and Steven Y. Liang. "Optimal Dimensioning of Miniaturized Machine Tools." In ASME 2006 International Manufacturing Science and Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/msec2006-21128.
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Increasing demand for micro fabrication of parts and products in the electronics, computer, and biomedical industrial sectors has created the need to minimize conventional manufacturing systems and machine tools such as milling, turning, and grinding machines corresponding to their fabrication targets. Among existing micro-machining technologies, mechanical solid tool machining with miniaturized manufacturing systems is one of the important processing methods, and has a number of inherent advantages. These advantages include: significant reduction of required space and energy consumption for machine drive and atmosphere; the improvement of machine robustness against external error sources due to increasing thermal, static, and dynamic stabilities; increased accuracy due to decreased overall machine size; and a greater freedom in the selection of workpiece materials, the complexity of the product geometry, and the cost of investment. However, the miniaturization of manufacturing machines unavoidably reduces the available work volume, so there are limits to the possible reduction of machine size per each machine tool configuration. Therefore, optimizing the configuration and size selection is important in order to address competing issues at the functionality level of machine tools. In this research, an effective design strategy to ensure good microscale machine performance and to provide the proper dimensions of the miniaturized manufacturing systems without resorting to exhaustive prototyping was proposed. This systematic design strategy includes the formulation and optimization of machine form shape function in the context of positioning accuracy, machine thermal error, static error, dynamic error, and work volume for various configuration candidates. The sensitivity of the optimal machine size to the relative weighing of penalty function parameters is discussed in the context of a case study. The results of this work can quantitatively support the design, configuration, fabrication, and utilization of microscale manufacturing systems in achieving precision and work volume specifications.
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Muthukrishnan, N., Ravi Mohan, M. S. Thiagarajan, and J. Venugopal. "Modeling Machinability Parameters of Turning Al-SiC (10p) MMC by Artificial Neural Network." In ASME 2008 International Manufacturing Science and Engineering Conference collocated with the 3rd JSME/ASME International Conference on Materials and Processing. ASMEDC, 2008. http://dx.doi.org/10.1115/msec_icmp2008-72329.
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The paper presents the results of an experimental investigation on the machinability of fabricated Aluminum metal matrix composite (A356/SiC/10p) during continuous turning of composite rods using medium grade Polycrystalline Diamond (PCD 1500) inserts. Metal Matrix Composites (MMC’s) are very difficult to machine and PCD tools are considered by far, the best choice for the machining of these materials. Experiments were conducted at LMW-CNC-LAL-2 production lathe using PCD 1500 grade insert at various cutting conditions and parameters such as surface roughness and specific powers consumed were measured. The present results reaffirm the suitability of PCD for machining MMCs. Though BUE formation was observed at low cutting speeds, at high cutting speeds very good surface finish and low specific power consumption could be achieved. An Artificial Neural Network (ANN) model has been developed for prediction of machinability parameters of MMC using feed forward back propagation algorithm. The various stages in the development of ANN models VIZ. selection of network type, input and output of the network, arriving at a suitable network configuration, training of the network, validation of the resulting network has been taken up. A 2-9-9-2 feed forward neural network has been successfully trained and validated to act as a model for predicting the machining parameters of Al-SiC (10p) -MMC. The ANN models after successful training are able to predict the surface quality; and specific power consumption for a given set of input values of cutting speed and machining time.
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Halfmann, Eric B., C. Steve Suh, and N. P. Hung. "Turning Dynamics: Part 2 — Stability at High Speed." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-87939.
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A comprehensive 3D lathe cutting model is validated by comparing numerical simulations to the experimental data obtained in Part 1 using instantaneous frequency. Comparison of chatter-free cutting demonstrates that the model effectively captures the work-piece natural frequency, tool natural frequency, a nonlinear mode, and the spindle speed, which are main components of the underlying dynamics observed experimentally. The model accurately simulates chatter vibrations characterized as increased vibration amplitude and the appearance of coupled tool – work-piece vibrations at a chatter frequency. The stability diagram constructed by running the model at various spindle speeds and depth-of-cuts demonstrates a general increase in the chatter-free critical depth-of-cut as the spindle speed increased. This chatter-free limit begins to exponentially level out as the spindle speed exceeds 1500RPM. At high spindle speeds the work-piece motions dominate the cutting dynamics, resulting in cases of excessive work-piece vibration amplitude and highly nonlinear frequencies which affect the efficiency of the process. The excessive work-piece amplitude cases create a second stability limit to be considered as a result of imbalance and configuration of the work-piece. Thus, work-piece dynamics should not be neglected in mathematical and experimental analyses for the design of machine tools and robust cutting control law.