Applying a pyramid part in the performance evaluation of multiple types of five axis machine tools

Chang, Han Jui; Chen, Shang Liang; Lee, Po Yi

doi:10.1007/s00170-017-0281-6

Cited by 6 publications

(5 citation statements)

References 6 publications

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“…used the three-level fuzzy comprehensive evaluation method to evaluate a certain model of five-axis CNC machine tool. Chang et al [14] in order to successfully complete the crossperformance evaluation, we propose a statistical approach to solve this long -standing problem. All of the above scholars have made corresponding studies on the comprehensive machining performance evaluation of the whole machine tool, while the evaluation of two rotation axes with high sensitivity is rare.…”

Section: Prefacementioning

confidence: 99%

Comprehensive Analysis and Evaluation of the Geometric Errors of the Rotating Axis of Five-axis Double-pendulum Machine Tools Based on S-shaped Samples.

Yuan²,

Yu³

et al. 2023

Preprint

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The geometric error of the rotation axis of a multi-axis machine tool is a highly sensitive error in the geometry error of the machine tool. Therefore, establishing an evaluation system for geometric errors of rotation axes is important for improving the machining accuracy of workpieces. First, a model for predicting the geometric error of the rotation axis was established based on the multi-body system theory, and then the mapping relationship between the geometric error of the rotation axis and each region with curvature changes in the S-shaped sample is identified. Next, based on the average value in seven different regions with curvature changes in the S-shaped sample, the weights of the mapping regions were calculated. Subsequently, the weights of the 12 geometric errors of the rotation axis (εx (A), εy (A), εz (A), (δx (A), (δy(A), (δz(A), (εx (C), εy (C), εz (C), (δx (C), (δy(C) and (δz(C)), and the weights of two rotation axes were identified to establish a comprehensive evaluation system for the geometric errors of rotation axes. Finally, an S-shaped sample was machined on the TuopuVMC-C50 five-axis CNC machine tool, and on-machine measurement experiments were conducted on two rotation axes with the established evaluation system. The results indicate that the relative error between the actual value and the theoretical value is less than 1.0%. Further, the comprehensive performance of the machine's rotation axes was evaluated step by step based on the theoretically calculated weight values.

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Section: Prefacementioning

confidence: 99%

Comprehensive Analysis and Evaluation of the Geometric Errors of the Rotating Axis of Five-axis Double-pendulum Machine Tools Based on S-shaped Samples.

Yuan²,

Yu³

et al. 2023

Preprint

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“…In 2017, Han-Jui Chang [ 17 ] proposed an applied anisotropic diffusion model to consider the interweaving of different factors and to evaluate its performance. When the parameter appears, the experimenter can discuss the phenomenon that appears.…”

Section: Literature Reviewmentioning

confidence: 99%

Predicting of Process Parameters for Theoretical Concentrated Stress of Fatigue Notch Coefficient of Auto Parts Using Virtual Recognizable Performance Evaluation Research

Chang

Sun

et al. 2022

Polymers

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This paper analyzes the structure of the key parts of the car belt guide, and the average stress of the vulnerable parts is simulated by analysis software. The theoretical stress of the section is calculated. The theoretical stress concentration factor (Kt) is given. The relation between the gap radius and the notch coefficient (Kf) was studied according to a previous Kf calculation formula. The tensile tests of real products are used as reference data. The results showed that Kf and Kt are linear in most cases, but there are also cases of non-compliance. The relationship between the fatigue notch coefficient Kf and the theoretical stress concentration coefficient Kt was closely related to the service life and fatigue strength of the product. In addition, we found that the size and direction of warpage improved significantly with the increase of fillet size, which was not consistent with the effect of adding glass fiber material. The rounded corners of ordinary PP materials usually displayed forward warping, but the addition of glass fiber into PP materials made the degree of warping smaller, or even led to reverse warping. The size of rounded corners is an important optimization parameter. The relationship between Kf and Kt was studied from the perspectives of virtual measurement (VM) and recognizable performance evaluation (RPM). According to abnormal filling pressure, these relationships were compared with filling data to generate a fracture initiation control model. Based on a large amount of normal process data and quality inspection data, the historical data (causes) and quality inspection data (results) were combined.

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“…With the assistance of AVM, each workpiece of carbon fiber products can be inspected to make sure that a comprehensive quality inspection has taken place. In 2017-2018, Chang [22][23][24] mentioned how the concept of the interaction effect is explained in physics as being when two or more independent variables exist in an experimental study, and how the effect of one of the independent variables exhibits an alternating phenomenon on the other independent variable. The true effect of some factors is changed by another factor.…”

Section: Literature Reviewmentioning

confidence: 99%

Process Prediction for Compound Screws by Using Virtual Measurement and Recognizable Performance Evaluation

Chang

Zhang

et al. 2021

Applied Sciences

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One of the important values of Industry 4.0 is to integrate people’s needs into the manufacture of enhanced products, systems, and services to achieve greater levels of product customization. This paper presents a prediction method for predicting screw process parameters; taking crystalline and non-crystalline polymers as the molding material, when there is a lack of sufficient historical screw process data to establish a data-driven method, using various screws and polymer materials to predict tool life under different cutting conditions is a challenge. A screw life prediction method is proposed based on the mixed compound screw process parameters method using a dynamic iteration work. To meet the requirements of mass production, this work proposes the combined application of the automatic virtual metrology (AVM) system with the recognizable performance evaluation (RPE) program. The method predicts the injection of compound screws by extracting given cutting conditions and related process parameters characteristics from the senor data by converting sampling inspections with measurement delays from real-time and online routine inspections to automatically and quickly complete method creation production goals.

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Applying a pyramid part in the performance evaluation of multiple types of five axis machine tools

Cited by 6 publications

References 6 publications

Comprehensive Analysis and Evaluation of the Geometric Errors of the Rotating Axis of Five-axis Double-pendulum Machine Tools Based on S-shaped Samples.

Comprehensive Analysis and Evaluation of the Geometric Errors of the Rotating Axis of Five-axis Double-pendulum Machine Tools Based on S-shaped Samples.

Predicting of Process Parameters for Theoretical Concentrated Stress of Fatigue Notch Coefficient of Auto Parts Using Virtual Recognizable Performance Evaluation Research

Process Prediction for Compound Screws by Using Virtual Measurement and Recognizable Performance Evaluation

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