Statistical approach optimizing slant feed grinding

Keita Shimada; Pay Jun Liew; Tianfeng Zhou; Jiwang Yan; Tsunemoto Kuriyagawa

Statistical approach optimizing slant feed grinding

Keita Shimada, Pay Jun Liew, Tianfeng Zhou, Jiwang Yan, Tsunemoto Kuriyagawa

Research output: Contribution to conference › Paper › peer-review

Abstract

Micro-grinding is one of the methods to create submillimeter-structures, and is required to improve ground surface roughness. Slant feed grinding is a machining method to improve ground surface roughness, but the improving mechanism has not been clarified yet. This paper proposed a theoretical method for calculating ground surface roughness of slant feed grinding using a statistical approach. A self-developed micro-grinding device was then employed to confirm the calculation method experimentally.

Original language	English
Publication status	Published - 2011 Dec 1
Externally published	Yes
Event	6th International Conference on Leading Edge Manufacturing in 21st Century, LEM 2011 - Omiya Sonic City, Saitama, Japan Duration: 2011 Nov 8 → 2011 Nov 10

Other

Other	6th International Conference on Leading Edge Manufacturing in 21st Century, LEM 2011
Country/Territory	Japan
City	Omiya Sonic City, Saitama
Period	11/11/8 → 11/11/10

Keywords

Ground surface roughness
Micro-grinding
Slant feed grinding
Statistical calculation

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Cite this

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title = "Statistical approach optimizing slant feed grinding",

abstract = "Micro-grinding is one of the methods to create submillimeter-structures, and is required to improve ground surface roughness. Slant feed grinding is a machining method to improve ground surface roughness, but the improving mechanism has not been clarified yet. This paper proposed a theoretical method for calculating ground surface roughness of slant feed grinding using a statistical approach. A self-developed micro-grinding device was then employed to confirm the calculation method experimentally.",

keywords = "Ground surface roughness, Micro-grinding, Slant feed grinding, Statistical calculation",

author = "Keita Shimada and Liew, {Pay Jun} and Tianfeng Zhou and Jiwang Yan and Tsunemoto Kuriyagawa",

year = "2011",

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language = "English",

note = "6th International Conference on Leading Edge Manufacturing in 21st Century, LEM 2011 ; Conference date: 08-11-2011 Through 10-11-2011",

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T1 - Statistical approach optimizing slant feed grinding

AU - Shimada, Keita

AU - Liew, Pay Jun

AU - Zhou, Tianfeng

AU - Yan, Jiwang

AU - Kuriyagawa, Tsunemoto

PY - 2011/12/1

Y1 - 2011/12/1

N2 - Micro-grinding is one of the methods to create submillimeter-structures, and is required to improve ground surface roughness. Slant feed grinding is a machining method to improve ground surface roughness, but the improving mechanism has not been clarified yet. This paper proposed a theoretical method for calculating ground surface roughness of slant feed grinding using a statistical approach. A self-developed micro-grinding device was then employed to confirm the calculation method experimentally.

AB - Micro-grinding is one of the methods to create submillimeter-structures, and is required to improve ground surface roughness. Slant feed grinding is a machining method to improve ground surface roughness, but the improving mechanism has not been clarified yet. This paper proposed a theoretical method for calculating ground surface roughness of slant feed grinding using a statistical approach. A self-developed micro-grinding device was then employed to confirm the calculation method experimentally.

KW - Ground surface roughness

KW - Micro-grinding

KW - Slant feed grinding

KW - Statistical calculation

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M3 - Paper

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T2 - 6th International Conference on Leading Edge Manufacturing in 21st Century, LEM 2011

Y2 - 8 November 2011 through 10 November 2011

ER -

Statistical approach optimizing slant feed grinding

Abstract

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Keywords

ASJC Scopus subject areas

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