SELECTION OF CUTTING CONDITIONS AND TOOL FLOW IN FLEXIBLE MANUFACTURING SYSTEM

Abstract Modern production requires minimum costs and maximum productivity of cutting processes. By using the simultaneous engineering, it is possible to include the processes of optimization of cutting conditions and tool flow already in the integrated preparation of the product and processes and in the parallel program of all activities. This paper presents the experience gained in concrete researches in industry.

[1]  G. Abdou,et al.  Analysis of force patterns and tool life in milling operations , 1995 .

[2]  Jeffrey L. Miller,et al.  Manufacturing and product development in the USA, in particular in the Los Angeles Basin and the strategic training and implementation of high manufacturing technology , 1998 .

[3]  Shiu Hong Choi,et al.  Investigation of an additional part to optimal schedule , 1998 .

[4]  L. Kops,et al.  Time partitioning based on the job-flow schedule — A new approach to optimum allocation of jobs on machine tools , 1994 .

[5]  Jože Balič,et al.  Model of complex optimization of cutting conditions , 1997 .

[6]  Behnam Pourbabai.  Loading strategies for a class of just-in-time manufacturing system , 1995 .

[7]  Harvey Maylor,et al.  The reality of concurrent new product development , 1998 .

[8]  Sameh M. Saad,et al.  Flexibility and responsiveness of machining environments , 1998 .

[9]  P. Welgama,et al.  Computer-aided facility layout — A status report , 1995 .

[10]  D. B. Naik,et al.  Multipass, multicriterion optimisation in turning , 1998 .

[11]  Behanam Pourbabai.  An optimal concurrent design and loading strategy for a flexible assembly line system: to control the bottleneck , 1994 .

[12]  Chong Peng,et al.  Real-time control and scheduling of flexible manufacturing systems: An ordinal optimisation based approach , 1998 .

[13]  Franci Cus,et al.  Inclusion of geometrical shape of cutter into optimization of milling process , 1998 .

[14]  B. J. Davies,et al.  Product representation for an expert process planning system for rotational components , 1994 .

[15]  R.M.D. Mesquita,et al.  Computer-aided selection of optimum machining parameters in multipass turning , 1995 .

[16]  Denis Royston Towill,et al.  Learning curve models for predicting the performance of AMT , 1994 .

[17]  Zone-Ching Lin,et al.  The application of the simulated annealing method and heuristic algorithms in the selection of fixture elements , 1997 .

[18]  J. G. Chow,et al.  An integrated intelligent process planning system for prismatic parts using PC-based CAD and CAM software packages , 1994 .