Setup Planning for MachiningProfessionals as well as researchers can benefit from this comprehensive introduction into the topic of setup planning, which reflects the latest state of research and gives hands-on examples. Starting with a brief but thorough introduction, this book explains the significance of setup planning in process planning and includes a reflection on its external constraints. Step-by-step the different phases of setup planning are outlined and traditional as well as modern approaches, such as fuzzy logic based setup planning, on the solution of setup planning problems are presented. Three detailed examples of applications provide a clear and accessible insight into the up-to-date techniques and various approaches in setup planning. |
Contents
| 1 | |
2 Different Phases of Setup Planning | 29 |
3 Methods for Solving Setup Planning Problems | 40 |
4 A Fuzzy Set Based Setup Planning Methodology | 67 |
Other editions - View all
Common terms and phrases
Adv Manuf Technol algorithms artificial neural network assigned automatically burr formation burr height CAPP system Chamfer clamping force CLIPS cutting tools database datum features datum selection decision tables decision tree developed dimensions ductility evolutionary algorithms example expert system expert system shell face feature cluster feed rate fixture design fuzzy logic fuzzy set based fuzzy set theory genetic algorithm Hazarika inference engine input Int J Adv integrated interaction knowledge knowledge-base locating and clamping machine tools machining features machining forces machining operation sequencing machining processes manufacturing membership function membership grade method milling module number of setups optimization output overall membership grade parameters particle swarm optimization planning for machining precedence constraints primary datum prismatic process planner rotational rules setup formation setup planning problem setup planning system setup sequencing slot soft computing solution step surface finish TAD6 tion tolerance relations ture uncertainty values of µ variables workpiece material