An error control approach to tool path adjustment conforming to the deformation of thin-walled workpiece

Wan, Xiaojin; Hua, Lin; Wang, Xufeng; Peng, Qize; Qin, Xunpeng

doi:10.1016/j.ijmachtools.2010.11.007

Cited by 32 publications

(5 citation statements)

References 19 publications

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“…The non-real-time compensation approach is more time-consuming on one hand but more practical on the other hand, compared with the real-time approach, because off-process measurement is much easier to carry out. The feedback strategy of the on-machine measurement results in the compensation machining being more flexible, which can be carried out by 1) editing the program of the machine NC to generate a compensation tool path [8][10] [225], 2) changing the NC offset [184] [233] and/or moving the workpiece [148] to adjust its position or orientation in the machining space, 3) modifying the tool setting to displace the cutting point of the tool path [184], or 4) adding a tool positioning system, such as a fast too servo, to control the depth-of-cut [61]. Mirror radial position mm Fig.…”

Section: Feedback To Compensation Machiningmentioning

confidence: 99%

On-machine and in-process surface metrology for precision manufacturing

et al. 2019

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On-machine and in-process surface metrology are important for quality control in manufacturing of precision surfaces. The classifications, requirements and tasks of on-machine and in-process surface metrology are addressed. The state-of-the-art on-machine and in-process measurement systems and sensor technologies are presented. Error separation algorithms for removing machine tool errors, which is specially required in on-machine and in-process surface metrology, are overviewed, followed by a discussion on calibration and traceability. Advanced techniques on sampling strategies, measurement systems-machine tools interface, data flow and analysis as well as feedbacks for compensation manufacturing are then demonstrated. Future challenges and developing trends are also discussed.

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Section: Feedback To Compensation Machiningmentioning

confidence: 99%

On-machine and in-process surface metrology for precision manufacturing

et al. 2019

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“…Rashev et al [96] included artificial neural network to the CAM to improve the accuracy of the predicted deflection. Wan et al [97] used deformation simulations to predict the optimum position of the support, evaluating the relative workpiece–part position.…”

Section: Industrial Approachmentioning

confidence: 99%

Thin-Wall Machining of Light Alloys: A Review of Models and Industrial Approaches

et al. 2019

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Thin-wall parts are common in the aeronautical sector. However, their machining presents serious challenges such as vibrations and part deflections. To deal with these challenges, different approaches have been followed in recent years. This work presents the state of the art of thin-wall light-alloy machining, analyzing the problems related to each type of thin-wall parts, exposing the causes of both instability and deformation through analytical models, summarizing the computational techniques used, and presenting the solutions proposed by different authors from an industrial point of view. Finally, some further research lines are proposed.

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“…The effect of cutting forces induced machining errors is most severe in the situation of Flank milling on thin walls. Habibi et al [41] and Wan et al [42] provided the compensation solutions for, and the prediction of the form errors, from cutter and thin wall elastic deformation. Kang and Wang [43] also addressed the same cutter-thin wall elastic deformation problem, but only worked out the deformation prediction without offering the compensation solution.…”

Section: Prediction Of Process-dependent Machining Errorsmentioning

confidence: 99%

From computer-aided to intelligent machining: Recent advances in computer numerical control machining research

Lee

Gao

2015

Proceedings of the Institution of Mechanical Engineers, Part B:

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The aim of this paper is to provide an introduction and overview of recent advances in the key technologies and the supporting computerized systems, and to indicate the trend of research and development in the area of computational numerical control machining. Three main themes of recent research in CNC machining are simulation, optimization and automation, which form the key aspects of *Corresponding author, Email: welcome.li@nuaa.edu.cn 2 intelligent manufacturing in the digital and knowledge based manufacturing era. As the information and knowledge carrier, feature is the efficacious way to achieve intelligent manufacturing. From the regular shaped feature to freeform surface feature, the feature technology has been used in manufacturing of complex parts, such as aircraft structural parts. The authors' latest research in intelligent machining is presented through a new concept of multi-perspective dynamic feature (MpDF), for future discussion and communication with readers of this special issue. The MpDF concept has been implemented and tested in real examples from the aerospace industry, and has the potential to make promising impact on the future research in the new paradigm of intelligent machining. The authors of this paper are the guest editors of this special issue on computational numerical control machining. The guest editors have extensive and complementary experiences in both academia and industry, gained in China, USA and UK.

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An error control approach to tool path adjustment conforming to the deformation of thin-walled workpiece

Cited by 32 publications

References 19 publications

On-machine and in-process surface metrology for precision manufacturing

On-machine and in-process surface metrology for precision manufacturing

Thin-Wall Machining of Light Alloys: A Review of Models and Industrial Approaches

From computer-aided to intelligent machining: Recent advances in computer numerical control machining research

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