The Experts below are selected from a list of 23691 Experts worldwide ranked by ideXlab platform
Bean Yin Lee - One of the best experts on this subject based on the ideXlab platform.
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The optimal Cutting-Parameter selection of production cost in HSM for SKD61 tool steels
International Journal of Machine Tools and Manufacture, 2003Co-Authors: H. Juan, Bean Yin LeeAbstract:The main purpose of this study was to construct an investigation of optimal Cutting Parameters for minimizing production cost on the rough machining of high speed milling operation. A machining model is constructed based on a polynomial network. The polynomial network can learn the relationships between Cutting Parameters (Cutting speed, feed per tooth, and axial depth of cut) and tool life through a self-organizing technique. Once the material removal volume for machined parts and various time and cost components of the high speed milling operations are given, an optimization algorithm using a simulated annealing method is then applied to the polynomial network for determining optimal Cutting Parameters. The optimal Cutting Parameters are subjected to an objective function of minimum production cost with the feasible range of Cutting Parameters.
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Cutting Parameter selection for maximizing production rate or minimizing production cost in multistage turning operations
Journal of Materials Processing Technology, 2000Co-Authors: Bean Yin Lee, Y S TarngAbstract:Abstract In this paper, an investigation of optimal Cutting Parameters for maximizing production rate or minimizing production cost in multistage turning operations is reported. A machining model is constructed based on a polynomial network. The polynomial network can learn the relationships between Cutting Parameters (Cutting speed, feed rate, and depth of cut) and Cutting performance (surface roughness, Cutting force, and tool life) through a self-organizing adaptive modeling technique. Once the geometric model for machined parts and various time and cost components of the turning operation are given, an optimization algorithm using a sequential quadratic programming method is then applied to the polynomial network for determining optimal Cutting Parameters. The optimal Cutting Parameters are subjected to an objective function of maximum production rate or minimum production cost with the constraints of a permissible limit of surface roughness and Cutting force and a feasible range of Cutting Parameters.
Wassila Bouzid - One of the best experts on this subject based on the ideXlab platform.
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Cutting Parameter optimization in NC milling
International Journal of Advanced Manufacturing Technology, 2011Co-Authors: Romdhane Othmani, Moncef Hbaieb, Wassila BouzidAbstract:The continuous demand for higher productivity and product quality asks\nfor better optimizing of the machining process. In this case, numerical\ncontrolled (NC) milling is a processing technology massively applied in\nthe metal manufacturing industry; it has received very important\ninterest in this century because it has a very high productivity and\nhigh work piece surface quality. The main objective of this work is to\nevaluate the machining time of different cycles, in 2.5 D NC milling.\nThe prediction of the optimal values of Cutting speed was analyzed to\nminimize both time and cost of die production. Optimum and economical\nvalues of Cutting speed give, respectively, minimum production time and\nminimum production cost. An experimental study is carried out to\nvalidate machining time calculation models developed in this work. The\nCutting Parameters analyzed in this study are Cutting speed, feed per\ntooth, and the radial Cutting depth.
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Cutting Parameter optimization to minimize production time in high speed turning
Journal of Materials Processing Technology, 2005Co-Authors: Wassila BouzidAbstract:Abstract A method is described for calculating the optimum Cutting conditions, in turning for objective criteria such as maximum production rate. The method uses empirical models for tool life, roughness and Cutting forces. Coefficients of these models were determined based on turning experiments in high speed machining. Four types of commercially available inserts have been used to turn an AISI 4340 steel. Three chemical vapor deposition (CVD) coated inserts and one ceramic tool have been studied. In this work, the machine power and the maximum spindle speed were considered as the process constraints. The method consists on explaining the feed in relation to the roughness which depends on the Cutting speed. Then, the Cutting speed which gives the minimum production times was calculated. This value is then compared to the allowed values imposed by the constraints. At least, the optimal value of feed was calculated. The obtained results indicate that the described method is capable of selecting the appropriate conditions.
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Roughness modeling in up-face milling
The International Journal of Advanced Manufacturing Technology, 2005Co-Authors: Wassila BouzidAbstract:In this study, we aimed to optimize Cutting Parameters to minimize surface roughness in up-face milling. An experimental system method has been used to analyze the evolution of surface roughness in connection with Cutting Parameters, and to develop mathematical models for roughness and optimal Cutting Parameter calculation. Roughness results show that lower Cutting speeds give poor surface quality. This is due to the formation of a built-up edge. On the other hand, higher Cutting speeds result in more roughness due to vibrations. So, an optimal value of Cutting speed must be used to minimize roughness. We found good correlation in experimental values of roughness .
Y S Tarng - One of the best experts on this subject based on the ideXlab platform.
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Cutting Parameter selection for maximizing production rate or minimizing production cost in multistage turning operations
Journal of Materials Processing Technology, 2000Co-Authors: Bean Yin Lee, Y S TarngAbstract:Abstract In this paper, an investigation of optimal Cutting Parameters for maximizing production rate or minimizing production cost in multistage turning operations is reported. A machining model is constructed based on a polynomial network. The polynomial network can learn the relationships between Cutting Parameters (Cutting speed, feed rate, and depth of cut) and Cutting performance (surface roughness, Cutting force, and tool life) through a self-organizing adaptive modeling technique. Once the geometric model for machined parts and various time and cost components of the turning operation are given, an optimization algorithm using a sequential quadratic programming method is then applied to the polynomial network for determining optimal Cutting Parameters. The optimal Cutting Parameters are subjected to an objective function of maximum production rate or minimum production cost with the constraints of a permissible limit of surface roughness and Cutting force and a feasible range of Cutting Parameters.
Weiming Shen - One of the best experts on this subject based on the ideXlab platform.
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A Cutting Parameter optimization method based on dynamic machining features for complex structural parts
2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2016Co-Authors: Wei Zhao, Yingguang Li, Weiming ShenAbstract:Complex structural parts are pervasive and playing an important role in the aircraft manufacturing area. In order to improve the machining efficiency, the Cutting Parameter optimization of complex structural parts during the machining has always been a problem in manufacturing industry. At present, the Cutting Parameters are usually optimized based on the final state of complex structural parts and remain unchanged during the machining process, which may not consider the Cutting Parameter optimization of workpiece in the intermediate machining process. Thus, a Cutting Parameter optimization method based on dynamic machining features for complex structural parts is proposed to improve the machining efficiency and guarantee the product quality during the machining process. The interim geometric state of each machining occasion is constructed in order to analyze the chatter stability. Then, the Cutting Parameters are optimized using a genetic algorithm within the limits of chatter stability.
János Márialigeti - One of the best experts on this subject based on the ideXlab platform.
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Cutting ParameterS DEFINITION FOR KINEMATIC OPTIMISATION OF SPIRAL BEVEL GEARS
Periodica Polytechnica Transportation Engineering, 2003Co-Authors: Márk Lelkes, Daniel Play, János MárialigetiAbstract:The contact analysis of uniform tooth height epicyclical spiral bevel gears stemming from Klingelnberg´s Cyclo-Palloid System has an important role in preliminary design. The simultaneous generation of gear surfaces and contact simulation is the basis of the analysis. A numerical program for theoretical contact identification has been developed. Longitudinal settings of the contact patterns or contact across the surfaces from tooth root to tooth top were obtained as a function of machine settings. The influence of each Cutting Parameter was isolated and is discussed for kinematic optimization.
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Numerical Determination of Cutting Parameters for the Control of Klingelnberg Spiral Bevel Gear Geometry
Journal of Mechanical Design, 2002Co-Authors: Márk Lelkes, János Márialigeti, Daniel PlayAbstract:A numerical method for the contact analysis of uniform tooth height epicyclical spiral bevel gears stemming from the Klingelnberg's Cyclo-Palloid System is proposed. The analysis is based on simultaneous generations of gear surfaces and contact simulation. A theoretical contact identification program has been developed. Conjugated tooth contact is examined. Longitudinal settings of contact patterns or contact across the surfaces from tooth root to tooth top were obtained as a function of machine-settings. The influences of each Cutting Parameter were isolated and were discussed.
