An on-machine and vision-based depth-error measurement method for micro machine tools

Wang, Shih-Ming; Yu, Han-Jen; Liu, Shih-His; Chen, Da-Fan

doi:10.1007/s12541-011-0143-3

“…In the direct monitoring method, the output variable is directly measured on the surface of the workpiece. It mainly obtains data through machine vision or digital image processing technology [11], such as flank wear width in one dimensional (VB) [12][13][14], wear area in two dimensional [15,16] and wear volume in three dimensional [17] (Figure 1a-c). The main advantage of the direct monitoring method is that there is no interaction between the measurement system and the measured surface and does not affect the stiffness of the system.…”

Section: Introductionmentioning

confidence: 99%

A State-of-the-art Review on the Intelligent Tool Holders in Machining

An,

Yang,

Li

et al. 2024

Intelligent and Sustainable Manufacturing

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In the manufacturing process, in addition to the properties of material itself, the quality of a product is directly related to the cutting process. Cutting force and cutting heat are two crucial factors in cutting processing. Researchers can analyze various signals during cutting process, such as cutting force signal, vibration signal, temperature signal, etc., which can regulate force and temperature, optimize the cutting process, and improve product quality. Therefore, it is very important to pay attention to various signals in cutting process. Meanwhile, good-quality signal data sets will greatly reduce time, resource and labor costs for subsequent use or analysis of researchers. Therefore, how to collect high-quality signals effectively and accurately is the first step. At present, researchers prefer to use various sensors to collect signals. With the advancement of science and technology, intelligent tool holder appears in researchers' vision. It integrates multiple systems such as sensors, data collection, data transmission, and power supply on the tool holder. It replaces traditional wired sensors, and it is highly interactive with CNC machine tools. This paper will carry out a systematic review and prospect from three aspects: the structural design of the intelligent tool holder, the signal monitoring technology of the intelligent tool holder, and the tool condition monitoring of the intelligent tool holder.

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“…In the direct monitoring method, the output variable is directly measured on the surface of the workpiece. It mainly obtains data through machine vision or digital image processing technology [11], such as flank wear width in one dimensional (VB) [12][13][14], wear area in two dimensional [15,16] and wear volume in three dimensional [17] (Figure 1a-c). The main advantage of the direct monitoring method is that there is no interaction between the measurement system and the measured surface and does not affect the stiffness of the system.…”

Section: Introductionmentioning

confidence: 99%

A State-of-the-art Review on the Intelligent Tool Holders in Machining

An,

Yang,

Li

et al. 2024

Intelligent and Sustainable Manufacturing

3

0

View full text Add to dashboard Cite

In the manufacturing process, in addition to the properties of material itself, the quality of a product is directly related to the cutting process. Cutting force and cutting heat are two crucial factors in cutting processing. Researchers can analyze various signals during cutting process, such as cutting force signal, vibration signal, temperature signal, etc., which can regulate force and temperature, optimize the cutting process, and improve product quality. Therefore, it is very important to pay attention to various signals in cutting process. Meanwhile, good-quality signal data sets will greatly reduce time, resource and labor costs for subsequent use or analysis of researchers. Therefore, how to collect high-quality signals effectively and accurately is the first step. At present, researchers prefer to use various sensors to collect signals. With the advancement of science and technology, intelligent tool holder appears in researchers' vision. It integrates multiple systems such as sensors, data collection, data transmission, and power supply on the tool holder. It replaces traditional wired sensors, and it is highly interactive with CNC machine tools. This paper will carry out a systematic review and prospect from three aspects: the structural design of the intelligent tool holder, the signal monitoring technology of the intelligent tool holder, and the tool condition monitoring of the intelligent tool holder.

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“…Jurkovic et al [10], Dai and Zhu [11] used vision systems to measure tool wear in turning and micro-milling, respectively. Moreover, Wang et al [12] proposed a method based on MV for detecting the depth dimension error of a part cavity. Based on the edge extraction method, Kavitha and Ashok [13] analyzed the radial runout of the lathe spindle.…”

Section: Introductionmentioning

confidence: 99%

Metrology and Measurement Systems

Su,

Cai,

Li

et al. 2021

2

0

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When machine tool spindles are running at a high rotation speed, thermal deformation will be introduced due to the generation of large amounts of heat, and machining accuracy will be influenced as a result, which is a generalized issue in numerous industries. In this paper, a new approach based on machine vision is presented for measurements of spindle thermal error. The measuring system is composed of a Complementary Metal-Oxide-Semiconductor (CMOS) camera, a backlight source and a PC. Images are captured at different rotation angles during end milling process. Meanwhile, the Canny edge detection and Gaussian sub-pixel fitting methods are applied to obtain the bottom edge of the end mill which is then used to calculate the lowest point coordinate of the tool. Finally, thermal extension of the spindle is obtained according to the change of the lowest point at different time steps of the machining process. This method is validated through comparison with experimental results from capacitive displacement sensors. Moreover, spindle thermal extension during the processing can be precisely measured and used for compensation in order to improve machining accuracy through the proposed method.

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An on-machine and vision-based depth-error measurement method for micro machine tools

Cited by 9 publications

References 8 publications

A State-of-the-art Review on the Intelligent Tool Holders in Machining

A State-of-the-art Review on the Intelligent Tool Holders in Machining

A State-of-the-art Review on the Intelligent Tool Holders in Machining

Metrology and Measurement Systems

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