Simulation-based tracking performance estimation of CNC machine tool feed drive

Soon Hong Hwang; Jong Min Lim; Wontaek Song; Chan Young Lee; Byung Kwon Min

Simulation-based tracking performance estimation of CNC machine tool feed drive

Soon Hong Hwang, Jong Min Lim, Wontaek Song, Chan Young Lee, Byung Kwon Min

Department of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Simulation of machine tool feed drive is utilized for machining process optimization. However, time consumption for optimization is huge because it requires repeated simulations. Therefore, this paper proposes the rapid simulation model for estimating the tracking performance of a CNC (computerized numerical control) machine tool feed drive. The velocity profiler in CNC was modeled to estimate the overall shape of the tool path for each block. The combination of the CNC control loop and feed drive was described using a transfer function. The analytical solution of feed drive response was acquired by combining the velocity profiler model and the feed drive model. Using the generalized solution, tracking error can be estimated at an arbitrary instance. The proposed method showed similar estimation accuracy when compared to the conventional simulation that used interpolated tool path.

Original language	English
Title of host publication	Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021
Editors	R. K. Leach, C. Nisbet, D. Phillips
Publisher	euspen
Pages	533-534
Number of pages	2
ISBN (Electronic)	9780995775190
Publication status	Published - 2021
Event	21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021 - Virtual, Online Duration: 2021 Jun 7 → 2021 Jun 10

Publication series

Name	Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021

Conference

Conference	21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021
City	Virtual, Online
Period	21/6/7 → 21/6/10

Bibliographical note

Publisher Copyright:
© 2021 Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021. All rights reserved.

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering
Mechanical Engineering
Environmental Engineering
Materials Science(all)
Instrumentation

Cite this

Hwang, S. H., Lim, J. M., Song, W., Lee, C. Y., & Min, B. K. (2021). Simulation-based tracking performance estimation of CNC machine tool feed drive. In R. K. Leach, C. Nisbet, & D. Phillips (Eds.), Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021 (pp. 533-534). (Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021). euspen.

Hwang, Soon Hong ; Lim, Jong Min ; Song, Wontaek et al. / Simulation-based tracking performance estimation of CNC machine tool feed drive. Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021. editor / R. K. Leach ; C. Nisbet ; D. Phillips. euspen, 2021. pp. 533-534 (Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021).

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title = "Simulation-based tracking performance estimation of CNC machine tool feed drive",

abstract = "Simulation of machine tool feed drive is utilized for machining process optimization. However, time consumption for optimization is huge because it requires repeated simulations. Therefore, this paper proposes the rapid simulation model for estimating the tracking performance of a CNC (computerized numerical control) machine tool feed drive. The velocity profiler in CNC was modeled to estimate the overall shape of the tool path for each block. The combination of the CNC control loop and feed drive was described using a transfer function. The analytical solution of feed drive response was acquired by combining the velocity profiler model and the feed drive model. Using the generalized solution, tracking error can be estimated at an arbitrary instance. The proposed method showed similar estimation accuracy when compared to the conventional simulation that used interpolated tool path.",

author = "Hwang, {Soon Hong} and Lim, {Jong Min} and Wontaek Song and Lee, {Chan Young} and Min, {Byung Kwon}",

note = "Publisher Copyright: {\textcopyright} 2021 Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021. All rights reserved.; 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021 ; Conference date: 07-06-2021 Through 10-06-2021",

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language = "English",

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publisher = "euspen",

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Hwang, SH, Lim, JM, Song, W, Lee, CY & Min, BK 2021, Simulation-based tracking performance estimation of CNC machine tool feed drive. in RK Leach, C Nisbet & D Phillips (eds), Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021. Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021, euspen, pp. 533-534, 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021, Virtual, Online, 21/6/7.

Simulation-based tracking performance estimation of CNC machine tool feed drive. / Hwang, Soon Hong; Lim, Jong Min; Song, Wontaek et al.

Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021. ed. / R. K. Leach; C. Nisbet; D. Phillips. euspen, 2021. p. 533-534 (Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Simulation-based tracking performance estimation of CNC machine tool feed drive

AU - Hwang, Soon Hong

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N2 - Simulation of machine tool feed drive is utilized for machining process optimization. However, time consumption for optimization is huge because it requires repeated simulations. Therefore, this paper proposes the rapid simulation model for estimating the tracking performance of a CNC (computerized numerical control) machine tool feed drive. The velocity profiler in CNC was modeled to estimate the overall shape of the tool path for each block. The combination of the CNC control loop and feed drive was described using a transfer function. The analytical solution of feed drive response was acquired by combining the velocity profiler model and the feed drive model. Using the generalized solution, tracking error can be estimated at an arbitrary instance. The proposed method showed similar estimation accuracy when compared to the conventional simulation that used interpolated tool path.

AB - Simulation of machine tool feed drive is utilized for machining process optimization. However, time consumption for optimization is huge because it requires repeated simulations. Therefore, this paper proposes the rapid simulation model for estimating the tracking performance of a CNC (computerized numerical control) machine tool feed drive. The velocity profiler in CNC was modeled to estimate the overall shape of the tool path for each block. The combination of the CNC control loop and feed drive was described using a transfer function. The analytical solution of feed drive response was acquired by combining the velocity profiler model and the feed drive model. Using the generalized solution, tracking error can be estimated at an arbitrary instance. The proposed method showed similar estimation accuracy when compared to the conventional simulation that used interpolated tool path.

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BT - Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021

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Hwang SH, Lim JM, Song W, Lee CY, Min BK. Simulation-based tracking performance estimation of CNC machine tool feed drive. In Leach RK, Nisbet C, Phillips D, editors, Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021. euspen. 2021. p. 533-534. (Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021).

Simulation-based tracking performance estimation of CNC machine tool feed drive

Abstract

Publication series

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Bibliographical note

All Science Journal Classification (ASJC) codes

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