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학술논문대한안전경영과학회지2009.03 발행

공정능력을 고려한 체결구 부품의 위치공차 최적화 방법 연구

A Study on the Optimization of Position Tolerance of Fasteners Considering Process Capability

이상현(동우화인켐); 이태근(LG필립스 디스플레이); 장성호(금오공과대학교)

11권 1호, 75~85쪽

초록

Designers have to consider voice of customer, process capability, manufacturing standards & condition, manufacturing method and characteristics of products to decide tolerances. Especially, in case of position of hole and pin, designers have to consider process capability to decide tolerances. The traditional position tolerances used in a drawing are theoretical values which are allocated to position under the worst case assembling condition that both hole and pin are the maximum material condition(MMC). However, when the process capability is high, more exact product size can be produced under stable manufacturing condition. Larger clearance of hole and pin can be allocated. In this point of view, manufacturer could increase the yield by allocating larger position tolerance than theoretical position tolerance of hole and pin considering process capability.

Abstract

Designers have to consider voice of customer, process capability, manufacturing standards & condition, manufacturing method and characteristics of products to decide tolerances. Especially, in case of position of hole and pin, designers have to consider process capability to decide tolerances. The traditional position tolerances used in a drawing are theoretical values which are allocated to position under the worst case assembling condition that both hole and pin are the maximum material condition(MMC). However, when the process capability is high, more exact product size can be produced under stable manufacturing condition. Larger clearance of hole and pin can be allocated. In this point of view, manufacturer could increase the yield by allocating larger position tolerance than theoretical position tolerance of hole and pin considering process capability.

발행기관:
대한안전경영과학회
분류:
안전공학

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공정능력을 고려한 체결구 부품의 위치공차 최적화 방법 연구 | 대한안전경영과학회지 2009 | AskLaw | 애스크로 AI