Simple Measuring of Positioning Accuracy for Machining Centers Using Image Matching

Author:

Saito Akinori1,Jimba Yoji1

Affiliation:

1. Nihon University, 1 Nakagawara, Tokusada, Tamura, Koriyama, Fukushima 963-8642, Japan

Abstract

Machining centers have played a central role in the production field for nearly half a century. Accuracy inspections of machining centers are performed as per ISO standards; however, the accuracy performance of machining centers is often not checked directly after delivery to the factory unless there is a collision between a tool and a workpiece or product failure. Although positioning accuracy is fundamental to the performance of machining centers, the need for expensive laser interferometers and the time required for the setup present barriers to owning and inspecting them. This study proposes a simple method for measuring positioning accuracy that does not require a time-consuming setup of the measurement device or expensive devices. Therefore, the user of the machine tool can own and use the proposed method for daily inspection to identify changes in the positioning accuracy of the numerically controlled machine tool more quickly.

Funder

Japan Society for the Promotion of Science

Publisher

Fuji Technology Press Ltd.

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference11 articles.

1. ISO 10791-1:2015, “Test conditions for machining centres – Part 1: Geometric tests for machines with horizontal spindle (horizontal Z-axis),” 2015.

2. ISO 10791-4:1998, “Test conditions for machining centres – Part 4: Accuracy and repeatability of positioning of linear and rotary axes,” 2015.

3. ISO 10791-6:2014, “Test conditions for machining centres – Part 6: Accuracy of speeds and interpolations,” 2014.

4. ISO 10791-7:2020, “Test conditions for machining centres – Part 7: Accuracy of finished test pieces,” 2020.

5. D. Maruyama, S. Ibaraki, and R. Sakata, “Measurement of Machine Tool Two-Dimensional Error Motions Using Direction-Regulated Laser Interferometers,” Int. J. Automation Technol., Vol.16, No.2, pp. 157-166, 2022. https://doi.org/10.20965/ijat.2022.p0157

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