IJAT Vol.5 No.5 pp. 708-714
doi: 10.20965/ijat.2011.p0708


Development of On-Machine Measurement System Utilizing Line Laser Displacement Sensor

Go Abe*, Masatoshi Aritoshi*, Tomoki Tomita*,
and Keiichi Shirase**

*Hyogo Prefectural Institute of Technology (HiTec), 3-1-12 Yukihira-cho, Suma, Kobe, Hyogo 654-0037, Japan

**Graduate School of Engineering, Kobe University, 1-1 Rokko-dai, Nada, Kobe, Hyogo 657-8501, Japan

April 22, 2011
May 25, 2011
September 5, 2011
on-machine measurement, line laser displacement sensor, sequential two-point method, sequential multi-point method

Demand for precision machining of dies and molds with complex shapes has been increasing. Though high performance CNC machine tools are widely utilized for precision machining, machining error compensation is still necessary to meet accuracy requirements. For precision measurement, a workpiece must usually be unloaded from a CNC machine tool. Then, the workpiece is measured by a precision measurement device, such as 3D CMM. After the machining error is clarified according to the measurements taken, the workpiece must be re-clamped for the necessary error compensation machining. This error compensation machining is costly and time consuming, and it requires a highly skilled machinists. The re-clamping of the workpiece also causes positioning errors. Therefore, demands for on-machinemeasurement have been increasing. In this paper, an on-machine measurement device that consists of a line laser displacement sensor is developed. This measurement device, attached to the spindle head of a machine tool with magnetic clamps, has special features, such as noncontact, multi-point, high-speed measurement capabilities. Additionally, a sequential multi-point method, an extension of the two-point method, is applied for shape measurement accuracy.

Cite this article as:
Go Abe, Masatoshi Aritoshi, Tomoki Tomita, and
and Keiichi Shirase, “Development of On-Machine Measurement System Utilizing Line Laser Displacement Sensor,” Int. J. Automation Technol., Vol.5, No.5, pp. 708-714, 2011.
Data files:
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Last updated on Jan. 15, 2021