Academic literature on the topic 'Machine-tools. Machining. Mathematical optimization'

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Journal articles on the topic "Machine-tools. Machining. Mathematical optimization"

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Tang, Bo. "Analysis of the Complex Parts NC Cutting Parameter Selection and Optimization." Applied Mechanics and Materials 443 (October 2013): 290–93. http://dx.doi.org/10.4028/www.scientific.net/amm.443.290.

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In the study of high speed cutting technology of complex parts, cutting methods and techniques must be closely combined with the selection of geometric parameters of cutting tool materials and cutting tool integrated. Numerical control machine tools and cutting tools without good guidance technology, cannot give full play to the advantages of NC machining. Based on this, this article mainly aimed at the complex parts NC cutting parameter selection, therefore cutting parameter optimization mathematical model is set up, and optimize it.
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Saraf, Atul R., Nitin D. Misal, and M. Sadaiah. "Mathematical Modelling and Optimization of Photochemical Machining." Advanced Materials Research 548 (July 2012): 617–22. http://dx.doi.org/10.4028/www.scientific.net/amr.548.617.

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Photochemical Machining is a novel machining process capable of processing wide range of hard-to-machine materials. This research addresses modelling and optimization of the process parameters for this machining technique. To model the process a set of experimental data has been used to evaluate the effects of various parameter settings in machining of SS316L. The process variables considered here include etchant temperature, time and concentration. Undercut, as one of the most important output characteristics, has been evaluated based on different parameter settings. The full factorial method
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Matisková, Darina. "MACHINABILITY OF MATERIALS AND THEIR MATHEMATICAL MODELS FROM AN ECONOMIC POINT OF VIEW." International Journal of Engineering Technologies and Management Research 6, no. 5 (2020): 154–61. http://dx.doi.org/10.29121/ijetmr.v6.i5.2019.382.

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This article is about the economics aspects on optimization of components production are nowadays very current issue. Article is about the criteria of economic efficiency of production of mechanical components for machine tools and CNC machines. The machinability of materials is considered to be a parameter which characterizes the machined material in the process of cutting and expresses the degree of machining effectivity in terms of material of a product and is expressed by mathematical model.
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Mahmud, M. A., A. K. M. Nurul Amin, and M. D. Arif. "Optimization of Cutting Parameters for High Speed End Milling of Single Crystal Silicon by Diamond Coated Tools with Compressed Air Blowing Using RSM." Advanced Materials Research 576 (October 2012): 46–50. http://dx.doi.org/10.4028/www.scientific.net/amr.576.46.

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This paper presents the thorough experimental analysis on high speed end milling of single crystal silicon using diamond coated tools. Experiments were conducted on CNC milling machine. The design of the experiments was based on the central composite design (CCD) technique of Design Expert software. Response Surface Methodology (RSM) was used to develop mathematical imperial model to establish a correlation between machining parameters (cutting speed, feed and depth of cut) and machined surface roughness in high speed end milling of single crystal silicon using 2mm diameter diamond coated tool
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Mu, Xuan, Ke Zhang, De Hong Zhao, and Yu Hou Wu. "The Topological Optimization Design of Cross Beams Structure of Shaped Stone Turning-Milling CNC (HTM50200)." Advanced Materials Research 694-697 (May 2013): 2725–28. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.2725.

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To reduce the overall mass of the machine tools, this paper made the structural lightweight design to crossbeams of the HTM series gantry machine by topology optimization. The topology optimization mathematical model was built by taking the quality as the constraint, overall stiffness to the maximum (complicance to the minimum) as the design goals. It also took HTM50200 Turning Milling Center as an example, put forward an asymmetric layout structure of auxiliary hole according to the optimization results by numerical simulation and calculation of ANSYS. By verified, the mass of the structure w
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Xu, Xiu Fen. "Design of Machine Tool Setting and Parameter Optimization." Advanced Materials Research 706-708 (June 2013): 1132–35. http://dx.doi.org/10.4028/www.scientific.net/amr.706-708.1132.

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To solve the existing problems in the NC machining process, the optimization design of cutting parameters in NC milling machine with genetic algorithm. With the maximum production efficiency as the optimization objective, the spindle speed, feed speed, milling width, depth and other parameters as optimal variables, establishes the optimization mathematical model of machine tool. The optimization results show that: parameters optimization can significantly improve the processing efficiency, and bring economic benefits for enterprises
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Kongchuenjai, Janjira, and Suksan Prombanpong. "An Optimization of Automated Process Planning for Manufacturing Prismatic Parts on a Machining Center." Applied Mechanics and Materials 789-790 (September 2015): 1270–74. http://dx.doi.org/10.4028/www.scientific.net/amm.789-790.1270.

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One of the objectives of process planning optimization is to diminish machining time. Nowadays a lot of research papers presented different algorithms to solve this classic problem. Thus, the optimal sequence of parts in the machining operations by considering fixture faces, part faces, number of operations and number of tools is presented in this paper. The mathematical model based on the integer linear programming is developed to minimize the total production time of the prismatic parts manufactured on a CNC machining center equipped with the tombstone-type fixture. The time required for mac
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Lu, Lei, Jiang Han, Yulong Zhou, Shan Chen, Haijun Liu, and Lian Xia. "Machine tool movement control method combining the benefit of software and real-time interpolator for sculpture surface machining." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 234, no. 9 (2020): 1215–26. http://dx.doi.org/10.1177/0954405420911310.

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In the traditional sculpture surface machining process, the G01 code is still the mainstream trajectory. Furthermore, real-time feedrate scheduling and corner smooth algorithm in controller constitute the mainstream method to improve the machining process of short line G01 code in sculpture surface machining. However, the G01 code’s discontinuity and the limits of real-time calculation capacity hinder the use of high-speed machine tools and the accuracy of the machined part. In this article, a new method for sculpture surface machining that considers the advantages and disadvantages of both th
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Lin, Huan, Dong Qiang Gao, Zhong Yan Li, and Jiang Miao Yi. "Parameters Optimization and Experimental Analysis in High Speed Machining." Advanced Materials Research 591-593 (November 2012): 480–83. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.480.

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First of all, in the cutting parameters optimization, according to the different processing conditions, optimization variables selection is different, including production efficiency the objective function and the constraint conditions of the machine tool. And then using genetic algorithm to build a high-speed processing parameters optimization model. The mathematical model explores the best solution through the software Matlab, and gets the optimal combination between the parameters of each cutting; high speed machining cutting parameters provides the reference for the choice of the user. Thr
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Blăjină, Ovidiu, Aurelian Vlase, and Vlad Darie. "Mathematical Model for Economic Optimization of the Tool Life and the Cutting Speed at Drilling of the Stainless Steel X6CrNiTi18-10." Applied Mechanics and Materials 371 (August 2013): 18–22. http://dx.doi.org/10.4028/www.scientific.net/amm.371.18.

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The problems related to the wear of the cutting tools wear and the tools life at the machining of the stainless steels are very important due to the chemical and mechanical characteristics of these steels [1]. Over time the research have studied the causes which produce the cutting tool wear and the methods to improve the cutting tools durability, either by creating new types of materials for tools, either by the choice of tools geometric parameters and cutting regime [2, 3]. The purpose of this paper is the optimization of the cutting tool life and the cutting speed at the drilling of the sta
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Dissertations / Theses on the topic "Machine-tools. Machining. Mathematical optimization"

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Smit, Willem Jacobus. "The optimal design of a planar Stewart platform for prescribed machining tasks." Diss., Pretoria : [s.n.], 2000. http://upetd.up.ac.za/thesis/available/etd-01122007-134416/.

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Du, Plessis Lukas Johannes. "Design and optimum operation of a re-configurable planar Gough-Stewart machining platform." Thesis, Pretoria : [s.n.], 2001. http://upetd.up.ac.za/thesis/available/etd-10312005-140405/.

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Teng, Sin Yong. "Intelligent Energy-Savings and Process Improvement Strategies in Energy-Intensive Industries." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-433427.

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S tím, jak se neustále vyvíjejí nové technologie pro energeticky náročná průmyslová odvětví, stávající zařízení postupně zaostávají v efektivitě a produktivitě. Tvrdá konkurence na trhu a legislativa v oblasti životního prostředí nutí tato tradiční zařízení k ukončení provozu a k odstavení. Zlepšování procesu a projekty modernizace jsou zásadní v udržování provozních výkonů těchto zařízení. Současné přístupy pro zlepšování procesů jsou hlavně: integrace procesů, optimalizace procesů a intenzifikace procesů. Obecně se v těchto oblastech využívá matematické optimalizace, zkušeností řešitele a pr
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Books on the topic "Machine-tools. Machining. Mathematical optimization"

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Marciniak, Krzysztof. Geometric modelling for numerically controlled machining. Oxford University Press, 1991.

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Radzevich, S. P. Formoobrazovanie slozhnykh poverkhnosteĭ na stankakh s ChPU. "Vyshcha shkola", 1991.

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Gao su ying tai qie xiao jia gong ji qi wen ding xing yan jiu. Ji xie gong ye chu ban she, 2014.

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Book chapters on the topic "Machine-tools. Machining. Mathematical optimization"

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Li, Zhen Jia, Yao Nan Cheng, Guang Yu Tan, Yan Bo Wang, and Yi Ming Rong. "Study on the Adhering Disrepair and Groove Optimization of Cutting Tools for Difficult-to-Machine Materials." In Advances in Machining & Manufacturing Technology VIII. Trans Tech Publications Ltd., 2006. http://dx.doi.org/10.4028/0-87849-999-7.715.

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Wang, Yujie, Xin Shen, Yu Peng, and Lixin Zhao. "Research on Optimization Method of Tool Path in Five-Axis Process Singular Region." In Machine Learning and Artificial Intelligence. IOS Press, 2020. http://dx.doi.org/10.3233/faia200767.

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For the five-axis machine into the singular region in the process of parts processing, resulting in a discontinuous and rapid rotation of the axis of rotation of large angles. Based on the analysis of the cause of the obvious ripple on the machined surface and the influence on the machining precision, a mathematical model of the singular region is established, and an optimization method of the tool path in the singular region is proposed. The simulation and practical machining results show that the method can effectively overcome the problem of excessive movement of the rotating shaft in the Song singular region of 5-axis machine tool, and solve the surface corrugated defects caused by the problem, while improving the processing efficiency.
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Bose, Goutam Kumar, Pritam Pain, and Sayak Mukhopadhyay. "Multi-Objective Optimization of Die-Sinking EDM Process on AISI P-20 Tool Steel Using Cuckoo Search and Genetic Algorithm." In Mathematical Concepts and Applications in Mechanical Engineering and Mechatronics. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1639-2.ch006.

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Electrical Discharge Machining (EDM) is nontraditional machining processes applied for precise machining and developing intricate geometries on work materials which are difficult to machine by conventional process. The present research work emphases on the die sinking EDM of AISI P20 tool steel, to study the effect of machining parameters such as pulse on time (POT), pulse off time (POF), discharge current (GI) and spark gap (SG) on performance response like Material removal rate (MRR), Surface Roughness (Ra) and Overcut (OC) using square-shaped Cu tool with Lateral flushing. The experimentation is performed using L27 orthogonal array and significant process parameters are ascertained using Regression analysis. The influence of the important process parameters on individual responses are detected using Cuckoo search algorithm. The present chapter is aimed at multi-response optimization i.e. higher MRR, lower Ra and minimum OC, which is conceded out using Genetic Algorithm.
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Kumar, Dhiraj, Sudipta Paitandi, Arunanshu Shekhar Kuar, and Dipankar Bose. "Experimental Investigation on Laser Transmission Welding of Polycarbonate and Acrylic." In Machine Learning Applications in Non-Conventional Machining Processes. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3624-7.ch010.

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This chapter presents the effect of various process parameters, namely laser power, pulse frequency, and welding speed, on the weld shear strength and weld width using a diode laser system. Here, laser transmission welding of transparent polycarbonate and black carbon filled acrylic each of 2.8 mm thickness have been performed to create lap joint by using low power laser. Response surface methodology is applied to develop the mathematical model between the laser welding process parameters and the responses of weld joint. The developed mathematical model is tested for its adequacy using analysis of variance and other adequacy measures. It has been observed that laser power and welding speed are the dominant factor followed by frequency. A confirmation test has also been conducted to validate the experimental results at optimum parameter setting. Results show that weld strength of 34.3173 N/mm and weld width of 2.61547 mm have been achieved at optimum parameter setting using desirability function-based optimization technique.
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Pramanik, D., N. Roy, A. S. Kuar, S. Sarkar, S. Mitra, and Dipankar Bose. "Laser Trepan Drilling of Monel k-500 Superalloy in Low Power Laser Beam Machining." In Machine Learning Applications in Non-Conventional Machining Processes. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3624-7.ch009.

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In the field of micro processing of materials, laser has great importance as a source of heat and for its ability to deliver a coherent beam. The use of 50-watt average power for through-hole is impossible to achieve good quality drilling of the metal sheet upto 2 mm thickness. But the use of unique parameter sawing angle and constant focal point distance plays a significant role on hole diameter and circularity in laser trepan drilling. In the present research study, laser trepan drilling is investigated through multi diode pulsed fiber laser beam machining. Experimental analysis based on central composite design (CCD) of response surface methodology (RSM) has been fulfilled to find out the mathematical model. A study of the effect of sawing angle with other process parameters such as cutting speed, power, duty cycle, and pulse frequency on overcut bottom diameter and circularity at bottom for a monel k-500 has been conducted. Experimental validation of the proposed model shows that desired hole quality can be obtained by optimization of controllable of suitable process parameters.
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Bianchi, E. C., P. R. Aguiar, R. C. Canarim, and A. E. Diniz. "Optimization of minimum quantity lubrication in grinding with CBN wheels." In Machining and machine-tools. Elsevier, 2013. http://dx.doi.org/10.1533/9780857092199.113.

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Pérez, Roberto, José Eduardo Márquez, Arturo Molina, et al. "Optimizing the Reconfiguration of Machining Desktop Micro-Factory Based on Scheduling Simulation." In Handbook of Research on Managerial Strategies for Achieving Optimal Performance in Industrial Processes. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0130-5.ch023.

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Today, the micro-factory concept of downsizing production systems is essential to manufacturing small products in sustainable growth. Concerning this, this paper presents the developments accomplished during the recent years at Tecnológico de Monterrey (Mexico) and Holguin University (Cuba) introducing new findings related to the design of reconfigurable micro-factories based-on micro-machine tools. The chapter discusses the proposed framework for the optimizing the development of micro-factories in the context of micro-reconfigurable manufacturing systems based-on micro-reconfigurable machine tools. The novel methodology for optimizing the scheduling of reconfigurable micro-factories were exposed and a scheduling optimization of a reconfigurable micro-factory prototype was designed and tested.
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Zaloga, Viliam, Vitalii Ivanov, Ivan Pavlenko, and Ivan Dehtiarov. "Technological Assurance of Manufacturing Effectiveness on CNC Machining Centers." In Advances in Business Information Systems and Analytics. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2725-2.ch016.

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The chapter is devoted to the solving of the problem of increasing the efficiency of lever-type parts machining due to the introduction of flexible fixtures ensuring multi-axis machining. The relationship between the design and technological parameters of the parts were discovered, which is the fundamentals for the analysis of parts and the search for the fixture layout for the given production conditions. An innovative approach to the design of technological processes for lever-type parts machining is proposed, which is based on the principle of intensification of machining processes, design and technological features of the parts, functional and technological capabilities of modern metal-cutting machine tools. A mathematical model of machining accuracy of parts depending on the level of fixture flexibility is obtained. It is analytically and experimentally proved the feasibility of using flexible fixtures for multi-axis machining of lever-type parts in multiproduct manufacturing.
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Conference papers on the topic "Machine-tools. Machining. Mathematical optimization"

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Morinaga, Eiji, Takuma Hara, Hidefumi Wakamatsu, and Eiji Arai. "A Method for Efficient Flexible Process Planning by Mathematical Optimization." In ASME/ISCIE 2012 International Symposium on Flexible Automation. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/isfa2012-7237.

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Computer support technology for modern manufacturing should deal with variable situations to accomodate to high-mix low-volume manufacturing. Computer-aided process planning (CAPP) has been discussed from this point of view, and a method for flexible CAPP, which generates a new proper process plan easily when manufacturing situation has changed, was proposed for rough milling by a three-axis vertical machine. This method was enhanced to handle millings by a multiaxis vertical machine and by both vertical and horizontal machines. The basic idea of these methods is to generate all process plans
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Bieterman, Michael B., and Donald R. Sandstrom. "A Curvilinear Tool-Path Method for Pocket Machining." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-33611.

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A novel curvilinear tool-path generation method is described for planar milling of pockets. The method uses the solution of an elliptic partial differential equation boundary value problem defined on a pocket region. This mathematical function helps morph a smooth low-curvature spiral path in a pocket interior to one that conforms to the pocket boundary. This morphing leads to substantial reductions of tool wear in cutting hard metals and of machining time in cutting all metals, as experiments described here show. A variable feed-rate optimization procedure is also described. This procedure in
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Xu, Chao, Pingfa Feng, Dingwen Yu, Zhijun Wu, and Jianfu Zhang. "Stability Prediction of Milling Process With Closed Machining System Dynamics With Flexible Thin-Walled Workpiece." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-51454.

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Despite recent advances and improvements in modeling and prediction of the dynamics of the machining process, an efficient machining process is limited due to chatter and instability of machining system. In fact, the machining system contains various kinds of joints, which cause difficulties in dynamics modeling, simulation and prediction. Moreover, the flexible support system results in large deformation and violent vibration of the workpiece when machining, and the thin-walled workpiece easily gives rise to the chatter of the machining system. Therefore, the dynamics of the flexible support
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ORCHARD, N. B. "USING COORDINATE MEASURING MACHINE SOFTWARE AS A VIRTUAL MACHINE TO SIMULATE A SIX-AXIS MACHINE TOOL, IN ORDER TO VERIFY MACHINING OFFSET DATA." In Advanced Mathematical and Computational Tools in Metrology. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812811684_0033.

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Yuan Suoxian, Yao Peng, and Cai Guangqi. "Study on mathematical transformation for machining process planning of parallel machine tools." In International Technology and Innovation Conference 2006 (ITIC 2006). IEE, 2006. http://dx.doi.org/10.1049/cp:20060976.

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MEDA, ALICE, and ALESSANDRO BALSAMO. "ERROR CORRECTION OF A TRIANGULATION VISION MACHINE BY OPTIMIZATION." In Advanced Mathematical and Computational Tools in Metrology. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812774187_0040.

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Ferry, W., and Y. Altintas. "Virtual Five-Axis Flank Milling of Jet Engine Impellers: Part 1 — Mechanics of Five-Axis Flank Milling." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-41351.

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Jet engine impeller blades are flank-milled with tapered, helical, ball-end mills on five-axis machining centers. The impellers are made from difficult-to-cut titanium or nickel alloys, and the blades must be machined within tight tolerances. As a consequence, deflections of the tool and flexible workpiece can jeopardize the precision of the impellers during milling. This work is the first of a two part paper on cutting force prediction and feed optimization for the five-axis flank milling of an impeller. In Part I, a mathematical model for predicting cutting forces is presented for five-axis
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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 m
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Park, Hyung Wook, and Steven Y. Liang. "Analysis of the Scale Effect for Microscale Machine Tools." In ASME 2007 International Manufacturing Science and Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/msec2007-31034.

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Miniaturization of conventional machine tools has been initiated due to inherent technical and economical advantages. To support further development in this area, a systematic design scheme must be developed on a quantitative basis to reduce the subjective design of miniaturized machine tools. The present work is the size optimization of the miniaturized milling machine on the basis of the proposed design strategy. This design strategy includes individual mathematical computations of key parameters such as volumetric error, machine working space, static, thermal, and dynamic stiffness. This ma
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Dong, Zhaorui, Qiong Liu, and Qin Li. "Optimization of Machining Process Planning for Carbon Reduction." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6531.

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Most researches on process planning optimized machining process routings and cutting parameters independently and ignored their comprehensive effects on carbon reduction. In order to further reduce carbon emissions in manufacturing processes, an optimization model of cutting parameters and machining process routings is proposed to minimize total carbon emissions and total processing time of all processes. Carbon emissions include those caused by energy consumptions of machines in cutting state, material consumption of cutting tools and cutting fluid in all processes. As the optimization of cut
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