陈列 发表于 2025-3-23 11:58:27

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担忧 发表于 2025-3-23 14:46:22

2191-530X puter-aided process and setup planning.Gives detailed hands-Professionals 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

挑剔为人 发表于 2025-3-23 18:29:14

Book 2015e 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 traditiona

树木心 发表于 2025-3-24 02:13:47

Assigning and Fine Tuning of Fuzzy Membership Grades,embership grades assigned by the expert can be fine tuned by the experts. In this chapter a method for fine tuning the membership grades assigned by experts is described. The method gives importance to the opinion of experts as well as relies on practical data. This method is applied to the estimation of burr size in the drilling process.

temperate 发表于 2025-3-24 03:16:23

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从容 发表于 2025-3-24 09:28:00

Book 2015l 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.

vertebrate 发表于 2025-3-24 12:01:34

SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/s/image/865816.jpg

Conducive 发表于 2025-3-24 18:08:35

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厌倦吗你 发表于 2025-3-24 21:49:37

Manjuri Hazarika,Uday Shanker DixitProvides a thorough introduction into setup planning and gives a step-by-step description of its phases.Presents different approaches on computer-aided process and setup planning.Gives detailed hands-

放肆的你 发表于 2025-3-25 02:59:31

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查看完整版本: Titlebook: Setup Planning for Machining; Manjuri Hazarika,Uday Shanker Dixit Book 2015 The Author(s) 2015 Ant Colony Optimization.Artificial Neural N