Geometric- and force-induced errors compensation and uncertainty analysis of rotary axis in 5-axis ultra-precision machine tool

Chen, Qidi; Maeng, Sangjin; Li, Wei; Zhou, Zhixiong; Min, Sangkee

doi:10.1007/s00170-020-05670-7

Cited by 11 publications

(5 citation statements)

References 36 publications

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“…In the choice of measuring instrument, this paper chooses Talusulf PGI 1240, a surface profilometer from Taylor Hopson Co., LTD. This instrument has wide application, can be used for spherical, planar, aspherical workpiece shape accuracy and surface roughness measurement, the shape error is 0.1mm, can carry out three-dimensional measurement, reduce the spacing of 0.125μm, is a new aspherical analysis software [3].…”

Section: Selection Of Measuring Instrumentmentioning

confidence: 99%

Research on optical microstructure machining based on artificial intelligence

Zhang

2022

International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022)

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As an important part of today's optoelectronic products, optical microstructure components are bound to restrict their development if they are still processed by traditional methods. Therefore, in order to promote the development of optical microstructure components, artificial intelligence technology is applied to make up for the insufficiency of manual processing methods and promote the development of optical microstructures in aerospace, information and other fields. Specifically, in the context of artificial intelligence, a single-point diamond is used to conduct machining experiments on micro-V grooves to explore the influence of spindle speed, depth of cut and feed speed on the machining accuracy of micro-V grooves, and to select appropriate cutting parameters. Finally, using these cutting parameters, the micro-V groove workpiece is processed, and it is found that the workpiece has the following characteristics: smooth surface, clear structure, clear array, etc. It has good consistency and can meet the requirements of optical microstructure machining accuracy. It can be seen that artificial intelligence can promote the development of optical microstructure processing and has a positive role in practice.

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Section: Selection Of Measuring Instrumentmentioning

confidence: 99%

Research on optical microstructure machining based on artificial intelligence

Zhang

2022

International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022)

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“…In micro-features machining, the accuracy is affected by four main error sources: thermal errors, force-induced errors (FIEs), geometric errors, and control system errors [8], [9]. Though the thermal and geometric errors contribute about 70% of the total machine errors, however, 25-50% of the total machine errors are alone contributed by the geometric errors making it to be the principal error source during machining [10]. The geometric errors occur due to axes component shift and axes line shift, the deformation of the machine components (cutting tool, machine body, axes, spindle holder, and spindle) causes the FIEs which continuously varies as a result of the variations in the cutting conditions, and the machine tool and its ambient temperature (during operation) contribute to the thermal errors [8]- [11].…”

Section: Introductionmentioning

confidence: 99%

“…The geometric errors are classi ed into (i) Position-independent geometric errors (PIGEs): also known as the link errors are caused by imperfections in the machine assembly, hence, they are consistent, systematic, and signi cant (ii) Position-dependence geometric errors (PDGEs): motion axis or the controlled axis caused by component defects [10], [12]- [14]. There are 13 PIGEs in a ve-axis machine tool consisting of three squareness errors in the three linear axes, two squareness/angular, and two-position/offset errors in each of the rotary axes, and two squareness errors in the spindle axis for machine tools with tilting head and 11 PIGEs for those with tilting rotary table [15], [16].…”

Section: Introductionmentioning

confidence: 99%

A new method to identify the position-independent geometric errors in the rotary axes of five-axis machine tools

Osei

Wang

Ding

2023

Journal of Manufacturing Processes

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“…To boost precision in 5-axis machining operations of free form surfaces, Chen et al (Chen et al 2020) corrected the position independent geometrical errors and cutting force generated errors for the rotary axis. To compensate the thermal errors in 5-axis machine tools, advanced model of the errors by considering the spindle speed and all linear axis movement and table rotation based on the indigenous temperature sensors is presented by Mareš et al (Mareš, Horejš, and Havlík 2020).…”

Section: Introductionmentioning

confidence: 99%

Dimensional, geometrical, thermal and tool deflection errors compensation in 5-Axis CNC milling operations

Soori

Arezoo

2023

Australian Journal of Mechanical Engineering

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The dimensional, geometrical, thermal and tool deflection errors which have a big portion of the overall error of machined parts need more attention in precision of components produced by using CNC machine tools. As a result, it is essential to simulate and compensate the errors in the machined components in order to increase accuracy of machined parts. In order to simulate and analyse the real manufactured components in virtual environments, virtual machining systems are proposed. In this paper, application of virtual machining system is investigated in order to simulate and compensate dimensional, geometrical, thermal and tool deflection errors in 5-axis milling operations of free form surfaces. The volumetric error vectors regarding the dimensional, geometrical, thermal and tool deflection errors at each cutting tool location throughout the machining pathways are calculated and compensated utilising the study's created virtual machining technology. In order to validate the study, a sample workpiece free from surfaces is milled by using the 5-axis CNC machine tool. The machine part is then measured by suing the CMM machine in order to obtain the dimensional, geometrical, thermal and tool deflection errors during milling operations of free form surfaces. Thermal sensors are also installed to the different locations of CNC machine tool in order to measure the thermal error of CNC machine tool during machining operations. Finally, in order to improve accuracy in 5-axis milling operations of free form surfaces, new cutting tool paths regarding the compensated volumetric errors of dimensional, geometrical, thermal, and tool deflection errors are generated. As a result, by utilising the proposed virtual machining system in the research work, precision as well as reliability during 5-axis milling operations of free form surfaces can be enhanced.

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Geometric- and force-induced errors compensation and uncertainty analysis of rotary axis in 5-axis ultra-precision machine tool

Cited by 11 publications

References 36 publications

Research on optical microstructure machining based on artificial intelligence

Research on optical microstructure machining based on artificial intelligence

A new method to identify the position-independent geometric errors in the rotary axes of five-axis machine tools

Dimensional, geometrical, thermal and tool deflection errors compensation in 5-Axis CNC milling operations

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