Real-time Thermal Error Compensation Module for Intelligent Ultra Precision Turning Machine (iUPTM)

Reddy, T. Narendra; Shanmugaraj, V.; Vinod, Prakash; Krishna, Sruthi; Narendranath, S.; Kumar, Pawan

doi:10.1016/j.mspro.2014.07.233

Cited by 11 publications

(3 citation statements)

References 5 publications

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“…where j is observations in the data set and n is the number of rotating speeds at the same temperature. The average accuracy improvement (AI) of the spindle system between the Mares model (δ M ) and the Mares CT model (δ MCT ) can be calculated using Equation (12):…”

Section: Multiple Linear Regression (Mlr) Modelmentioning

confidence: 99%

“…Thermal deformations are generally characterized by a nonlinear phenomenon, making it difficult to correct thermal faults using a simple control system due to the complexity of heat transfer. To identify the major temperature field across the machine, researchers developed a compensation method to reduce the displacement variations concerning the temperature distribution of the MTs and improve the accuracy of the MTs [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

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Effect of Coolant Temperature on the Thermal Compensation of a Machine Tool

Maurya

Luo

et al. 2022

Machines

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Machine tool (MT) accuracy is an important factor in the industry and is affected by heat generation through internal and external moving parts; the electrical components used; and variable environmental temperatures. Thermal errors lead to 40–60% of all MT errors. To improve MT accuracy, efficient techniques to minimize thermal errors must be identified. This study investigated the coolant temperature effects under different rotating speeds of a standalone built-in spindle system and computer numerical control (CNC) machine with a direct-drive spindle on the accuracy of thermal deformation prediction. The z-axis thermal deformation of the standalone built-in spindle system and CNC machine with a direct-drive spindle was conducted at different spindle rotating speeds and coolant temperatures at a constant coolant flow rate of 5 LPM. All experiments were conducted in a steady and dynamic operation according to ISO 230-3. For the standalone built-in spindle system, in comparison to the Mares model, the developed new model based on the coolant temperature effect on the Mares model (Mares CT model) can improve the thermal deformation prediction accuracy by 18.17% to 39.50% at different coolant temperatures of 12 ∘C to 26 ∘C and the accuracy can be controlled within the range of 0.03 μm to 5.24 μm, while the supply coolant temperature is above 16 ∘C. However, the thermal compensation analysis of the Mares CT model for a CNC machine with a direct-drive spindle shows a thermal deformation prediction accuracy improvement of 58.30% to 66.35% at different coolant temperatures of 22 ∘C to 28 ∘C and the accuracy can be controlled within the range of 0.14 μm to 4.05 μm. To validate the feasibility of the compensation model in real machining processes, dynamic operational analysis was performed for a standalone built-in spindle system and a CNC machine with a direct-drive spindle, and the thermal deformation prediction accuracy improved by 12.19% to 35.53% with the standalone built-in spindle system and 40.25% to 60.33% with the CNC machine with a direct-drive spindle. The compensation model analysis shows that the coolant temperature has a high impact on thermal deformation prediction and markedly affects system accuracy within certain limits.

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Section: Multiple Linear Regression (Mlr) Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of Coolant Temperature on the Thermal Compensation of a Machine Tool

Maurya

Luo

et al. 2022

Machines

View full text Add to dashboard Cite

show abstract

“…At last, the thermal errors are compensated in real time [7,8]. In this process, many mathematical methods are used for the thermal error modeling, such as, regression analysis method [9], FEM, neural networks [10], time series analysis [11], screw theory, fuzzy theory [12], grey theory [13], support vector machine [14], genetic algorithm [15], ant colony algorithm [16].…”

Section: Introductionmentioning

confidence: 99%

Thermal Error Compensation of the Wear-Depth Real-Time Detecting of Self-Lubricating Spherical Plain Bearings

Yang

et al. 2018

Chin. J. Mech. Eng.

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The spherical plain bearing test bench is a necessary detecting equipment in the research process of self-lubricating spherical plain bearings. The varying environmental temperatures cause the thermal deformation of the wear-depth detecting system of bearing test benches and then affect the accuracy of the wear-depth detecting data. However, few researches about the spherical plain bearing test benches can be found with the implementation of the detecting error compensation. Based on the self-made modular spherical plain bearing test bench, two main causes of thermal errors, the friction heat of bearings and the environmental temperature variation, are analysed. The thermal errors caused by the friction heat of bearings are calculated, and the thermal deformation of the wear-depth detecting system caused by the varying environmental temperatures is detected. In view of the above results, the environmental temperature variation is the main cause of the two error factors. When the environmental temperatures rise is 10.3 °C, the thermal deformation is approximately 0.01 mm. In addition, the comprehensive compensating model of the thermal error of the wear-depth detecting system is built by multiple linear regression (MLR) and time series analysis. Compared with the detecting data of the thermal errors, the comprehensive compensating model has higher fitting precision, and the maximum residual is only 1 μm. A comprehensive compensating model of the thermal error of the wear-depth detecting system is proposed, which provides a theoretical basis for the improvement of the real-time wear-depth detecting precision of the spherical plain bearing test bench.

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Thermal Error and Compensation Method for Precision Machines

Xi¹

2020

Precision Manufacturing

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Real-time Thermal Error Compensation Module for Intelligent Ultra Precision Turning Machine (iUPTM)

Cited by 11 publications

References 5 publications

Effect of Coolant Temperature on the Thermal Compensation of a Machine Tool

Effect of Coolant Temperature on the Thermal Compensation of a Machine Tool

Thermal Error Compensation of the Wear-Depth Real-Time Detecting of Self-Lubricating Spherical Plain Bearings

Thermal Error and Compensation Method for Precision Machines

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