Systematic Development of Cumulative Complexity Index for Investment Casting

Author:

Maheta Nikunj1,Sata Amit1

Affiliation:

1. Department of Mechanical Engineering, Marwadi University, Rajkot — Morbi Road, Rajkot 360003, India

Abstract

Investment casting is usually employed for producing industrial castings for different sectors including aerospace, automobile, bio-medical, chemical, defense and many more. Frequently, decision to manufacture any industrial component using investment casting process is mainly driven by many factors associated with geometry, desired features as well as manufacturability of industrial components. In this work, five-layered hierarchical structure-based novel Cumulative Complexity Index (CCI) has been developed for making appropriate decision to select investment casting process for manufacturing any industrial component. Top layer is comprised of CCI that is further categorized into three categories of Complexity Index (CI) including characteristics of geometry characteristics, desired features and manufacturability of an industrial component. The CIs are categorized into various 19 elements and further into 52 attributes. These attributes with 212 meta-attributes are employed to compute CCI (in the scale from 0 to 100). As the value of CCI is higher, complexity involved in manufacturing industrial component using investment casting is higher. The proposed concept of CCI is tested on different industrial case studies, and found very useful in making decision to select investment casting process for manufacturing those industrial components. This can be easily embedded with any existing tool on design for casting.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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