[ Technical Papers ]

Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 30, No. 3, pp.239-243

ISSN: 2508-5107 (Online)

Print publication date 15 Jun 2021

Received 21 Jan 2021 Revised 04 Apr 2021 Accepted 12 Apr 2021

DOI: https://doi.org/10.7735/ksmte.2021.30.3.239

부싱 가공 불량 감소를 위한 내경 정밀측정 기반 인라인 가공품질 예측 시스템 개발

이훈희^a^{, *}

Development of In-line Machining Quality Prediction System based on Inner-circle Precision Measurement for Reducing Bushing Machining Defect

Hoon-Hee Lee^a^{, *}

aPrecision Mechanical Process and Control R&D Group, Korea Institute of Industrial Technology (KITECH)

Correspondence to: ^*Tel.: +82-55-924-0128 E-mail address: hhlee84@kitech.re.kr (Hoon-Hee Lee).

Abstract

A single defect in the bushings of a tank track can cause track breakaway and thus it is important to evaluate the forming accuracy of the bushing during its mass production. In this research, an inline bushing measurement system, comprising of two linear variable differential transformer (LVDT) probes, precision alignment modules, and a stepping motor, was developed for an accurate inner shape prediction and measurement. In addition, an error prediction algorithm was developed for monitoring and controlling the machining quality of the bushing. The inner diameter was calculated by considering the best-fit circle obtained using the LVDT measurement data and the least squares method. The changes in the inner circle diameter were considered to be a machining error due to tool (insert) wear. The measured uncertainty of inner circle diameter was 0.015 mm. The proposed system was verified using the quality decision experimental results of the sample bushing.

Keywords:

In-line inner-circle measurement, Automatic measurement, Machining error prediction, Precision calibration

Acknowledgments

이 연구는 진주시 재원으로 2020년도 소재부품기업 공정혁신 기술고도화 지원사업(kitech IZ-200030)의 지원으로 수행한 연구임.

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Hoon-Hee Lee

Senior Researcher in the Korea Institute of Industrial Technology.His research interests are Machine tool metrology and metal hybrid 3D Printing.

E-mail: hhlee84@kitech.re.kr