Mathematical Tools for Building Setup-Maps to Optimally Locate Each Casting in a Machining Fixture: Case Study With Minimum Wall Thickness

Author:

Kalish N. J.1,Davidson J. K.2,Shah Jami J.3,Shah Jiten V.4

Affiliation:

1. Northrop Grumman Corporation, Chandler, AZ 85248

2. Design Automation Laboratory, Department of Mechanical and Aerospace Engineering, Arizona State University, Tempe, AZ 85287-6106

3. Honda Professor of Engineering Design, Department of Mechanical & Aerospace Engineering, The Ohio State University, 201 W. 19th Avenue, Columbus, OH 43210

4. Product Development and Analysis, LLC, Naperville, IL 60563

Abstract

Abstract A novel combination of mathematical tools underlies a method to lower cost of the first fixture-setup required to finish-machine surfaces on large castings or weldments where components will be attached. The computer-aided design (CAD) model, tolerance specifications, process plan, and design of the fixture, including configuration of the locators, are given. The math tools are used to build algorithms for a digital model, the Setup-Map© (S-Map©), that predictively captures all allowable locator adjustments needed to position and orient each part in its fixture before machining begins. The S-Map in this paper is generated for a case-study design, a cast valve-body with two to-be-machined (TBM) features, but the math tools are general so the same methods could be applied directly, or easily adapted, to other designs and fixture schemes. Geometric variations at the TBM features are represented with Tolerance-Maps© (T-Maps©) that are constructed with higher-dimensional linear half-spaces. The T-Maps are shifted to be aligned with, and offset from, one-sided simulated envelopes derived from scans of corresponding features on each casting. Linear programming identifies the setup-point that is chosen to most evenly distribute the required amount of machining over all the TBM features. Inverse kinematics of parallel robots is used to convert the setup-point to custom settings at the fixture locators for each casting. The half-space construction enables the identification of TBM features that have insufficient material and require repair. The algorithms were validated with 13 castings.

Funder

Digital Manufacturing and Design Innovation Institute

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications,Software

Reference43 articles.

1. Method for Automating Digital Fixture-Setups That Are Optimal for Machining Castings to Minimize Scrap;Haghighi;J. Manuf. Syst.,2016

2. Kalish, N. J. , 2016, “The Theory Behind Set-up Maps: A Computational Tool to Position Parts for Machining,” MS thesis, Arizona State University, Tempe, AZ.

3. Mathematical Tools for Automating Digital Fixture Setups: Constructing T-Maps and Relating Metrological Data to Coordinates for T-Maps and Deviation Spaces;Kalish;J. Comput. Inf. Sci. Eng.,2018

4. Computer-Aided Fixture Design

5. Automated Modular Fixture Planning: Geometric Analysis;Wu;Rob. Comput.-Integr. Manuf.,1998

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3