CBIMS: Case-based impeller machining strategy support system

Cho, Min-Ho; Kim, Dong-Won; Lee, Chan-Gie; Heo, Eun-Young; Ha, Jaewon; Chen, F. Frank

doi:10.1016/j.rcim.2009.04.017

Cited by 16 publications

(4 citation statements)

References 18 publications

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“…Gero eta konpetentzia handiagoko merkatuan, makina-erremintaren fabrikatzaileak zehaztasun handiagoko produktuak eskaini beharrean aurkitzen dira, betiere salneurriak ahalik eta baxuen mantenduz. Honen adibide dira hegazkinen motorretako eta energia sektoreko turbinetan erabili beharreko gainazal konplexuko eta gero eta tamaina handiagoko piezen fabrikazioa [1,2]. Alabaina, zehaztasun handiagoa, aplikazio anitzetan, kontrajarritako beharrizanekin batera doa, adibidez, produktibitate handiago batekin.…”

Section: Sarreraunclassified

Makina-erreminten errendimendua eta zehaztasuna

Arrizubieta

Celaya

Ukar

et al. 2019

EKAIA

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Zehaztasunaren ikuspuntutik makina-erreminten diseinuan, eraikuntzan eta martxan jartzean kontuan eduki behar diren puntu garrantzitsuenak bildu dira ikerlan honetan. Horregatik, artikulu honetan, makina-erremintaren diseinu-printzipio garrantzitsuenak azaltzen dira. Gainera, makina-erremintetan ager daitezkeen erroreen ondoriozko ziurgabetasuna zenbatesteko gaur egun gehien erabiltzen den metodoan sakontzen da: errore-aurrekontua. Are gehiago, diseinu egokirako kontuan hartu behar diren printzipioak deskribatzen dira. Azkenik, makina-erreminta muntatu ostean, haren zehaztasuna zenbatesteko existitzen diren nazioarteko arau garrantzitsuenak aztertu dira.

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Section: Sarreraunclassified

Makina-erreminten errendimendua eta zehaztasuna

Arrizubieta

Celaya

Ukar

et al. 2019

EKAIA

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“…The maximum feed-speeds of the X and Y axes are set as 12,000 mm/min and 6000 mm/min, respectively. The acceleration limitation of the X / Y axis is set as 1800 mm/s 2 , and the jerk limitation of the X / Y axis is set as 900,000 m/s 3 . A laser with 532 nm wavelength and 40 kHz pulse reputation frequency is adopted for the machining of a workpiece of aluminium alloy 6061.…”

Section: Experimental Verificationmentioning

confidence: 99%

“…Parts with rapidly varied geometric features are usually crucial parts in high-end equipment and widely applied in the fields of aerospace, energy and power. [1][2][3] With the rapid development of the major engineering fields and the batch production advancing of the high-end equipment, pressing demands for such important parts with varied curvature features are put forward in the aspects of both machining accuracy and efficiency. 4 However, this kind of parts are difficult or inefficient to process because of the more special structure and the higher requirement of machining precision, which restricts the rapid development of the high-end equipment.…”

Section: Introductionmentioning

confidence: 99%

Machining error reduction by combining of feed-speed optimization and toolpath modification in high-speed machining for parts with rapidly varied geometric features

Zhang

Song

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part C:

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Parts with rapidly varied geometric features are usually crucial parts in high-end equipment and widely applied in the fields of aerospace, energy and power, which are difficult or inefficient to process because of the more special structure and the higher requirement of machining precision. High-speed machining technology provides an effective method for parts with rapidly varied geometric features to solve the contradiction between high demand and low machining efficiency. However, as the existence of rapidly varied geometric features, the machining toolpath for such parts is always complex free-form curve and the actual moving speed of the workbench of the NC machine tool cannot reach the feed-speed set in the NC program timely due to the drive constraint of NC machine tool. Furthermore, the machine tool would vibrate violently when machining the rapidly varied geometric features. In this way, the big machining error will be formed. A machining error reduction method by combining of feed-speed optimization and toolpath modification in high-speed machining for such parts is proposed. First, considering that the actual feed-speed cannot reach the programmed value when the toolpath curvature is too large, the feed-speed is optimized with the constraints of jerk and acceleration limitations of the feed shafts, and a feed-rate smoothing algorithm is applied. Then, the compensated cutter locations are calculated via machining-error estimation. Finally, the modified NC codes are acquired according to the optimized feed-speed and the compensated toolpath. By combining the feed-speed optimization and toolpath modification, the high precision and high efficiency machining can be realized. The experimental results demonstrate the feasibility of the proposed approach. This study provides an effective approach to reduce the machining error in high-speed machining, and is significant for improving the processing precision and efficiency of parts with rapidly varied geometric features.

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“…Highly accurate mechanical components with highcurvature surface are widely required in the fields of aerospace, energy, power, medical, and automobile, such as knee joints, 1 propellers, 2 impellers with small splitter blades, [3][4][5] gears, 6 and ship structural components. 7 To produce such components, many engineers choose the computerized numerical control (CNC) machining process, which has advantages of high production efficiency, high machining precision, and stable product quality.…”

Section: Introductionmentioning

confidence: 99%

Iterative learning contouring controller based on trajectory generation with linearly interpolated contour error estimation and Bézier reposition trajectory for computerized numerical control machine tool feed drive systems

Hendrawan

Simba²,

Uchiyama

2019

Advances in Mechanical Engineering

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In industrial applications, highly accurate mechanical components are generally required to produce advanced mechanical and mechatronic systems. In machining mechanical components, contour error represents the product shape quality directly, and therefore it must be considered in controller design. Although most existing contouring controllers are based on feedback control and estimated contour error, it is generally difficult to replace the feedback controller in commercial computerized numerical control machines. This article proposes an embedded iterative learning contouring controller by considering the linearly interpolated contour error compensation and Bézier reposition trajectory, which can be applied in computerized numerical control machines currently in use without any modification of their original feedback controllers. While the linearly interpolated contour error compensation enhances tracking performance by compensating the reference input with an actual value, the Bézier reposition trajectory enables smooth velocity transitions between discrete points in the reference trajectory. For performance analysis, the proposed controller was implemented in a commercial three-axis computerized numerical control machine and several experiments were conducted based on typical three-dimensional sharp-corner and half-circular trajectories. Experimental results showed that the proposed controller could reduce the maximum and mean contour errors by 45.11% and 54.48% on average, compared to embedded iterative learning contouring controller with estimated contour error. By comparing to embedded iterative learning contouring controller with linearly interpolated contour error compensation, the maximum and mean contour errors are reduced to 20.54% and 26.92%, respectively.

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CBIMS: Case-based impeller machining strategy support system

Cited by 16 publications

References 18 publications

Makina-erreminten errendimendua eta zehaztasuna

Makina-erreminten errendimendua eta zehaztasuna

Machining error reduction by combining of feed-speed optimization and toolpath modification in high-speed machining for parts with rapidly varied geometric features

Iterative learning contouring controller based on trajectory generation with linearly interpolated contour error estimation and Bézier reposition trajectory for computerized numerical control machine tool feed drive systems

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