On-machine tool setting is a pivotal approach in achieving intelligent manufacturing,and laser tool setters have become a crucial component of smart machine tools.Laser tool setters play a crucial role in precisely me...On-machine tool setting is a pivotal approach in achieving intelligent manufacturing,and laser tool setters have become a crucial component of smart machine tools.Laser tool setters play a crucial role in precisely measuring the dimensions of cutting tools during the part machining process,focusing on tool length and diameter.As a measuring instrument,the positions of the laser axis of the laser tool setter need to be accurately calibrated before use.However,in actual calibration scenarios,traditional calibration methods face challenges due to installation errors in the tool setter and geometric errors in the measuring rod.To address this issue,this study proposes a novel calibration method.Initially,the calibration mechanism of the laser beam axis is established.Based on the accurate mathematical model of the laser beam and the measuring rod,and using the polygon clipping algorithm,the mathematical mechanism of the laser tool setter’s work is established.Then,a novel method is introduced to calculate the compensation distance between the laser beam reference point and the rod bottom center point at each moment during calibration.Furthermore,by utilizing the kinematic chain of the tool setter calibration system,a new calibration method is developed to accurately calibrate the position of the laser beam axis in the machine tool coordinate system.Finally,the accuracy of the calibration method is verified through simulation experiments and calibration tests.This method improves the calibration accuracy of the tool setter,and the mathematical model of the laser tool setter can be extended to the measurement of tools,thereby improving the precision of tool measurements.This research significantly improves the efficient production performance of smart machine tools.展开更多
Determining the tectonic setting of unknown volcanic rocks continues to be one of the key challenges in geoscience.While discrimination diagrams have been successfully employed due to their ease of use,recently,valida...Determining the tectonic setting of unknown volcanic rocks continues to be one of the key challenges in geoscience.While discrimination diagrams have been successfully employed due to their ease of use,recently,validation with big data has raised questions about their performance.In this study,the discrimination boundaries of Th/Yb versus(vs.)Nb/Yb and TiO2/Yb vs.Nb/Yb diagrams,which are the most used types of discrimination diagrams,were redefined based on a large amount of compiled data and support vector machine,a machine learning method.The effectiveness of discrimination diagrams was verified,and the limitations and conditions when using them were clarified.The results show that when using the Th/Yb vs.Nb/Yb diagram,only basalts with Th/Yb ratios higher than the discrimination boundary can be identified as volcanic arcs in origin.In contrast,a significant overlap occurs across boundaries in other cases when using these diagrams,particularly for enriched samples with Nb/Yb ratios higher than five.Therefore,when using these diagrams to determine the tectonic setting of unknown samples,their limitations must be considered when interpreting their results.展开更多
文摘On-machine tool setting is a pivotal approach in achieving intelligent manufacturing,and laser tool setters have become a crucial component of smart machine tools.Laser tool setters play a crucial role in precisely measuring the dimensions of cutting tools during the part machining process,focusing on tool length and diameter.As a measuring instrument,the positions of the laser axis of the laser tool setter need to be accurately calibrated before use.However,in actual calibration scenarios,traditional calibration methods face challenges due to installation errors in the tool setter and geometric errors in the measuring rod.To address this issue,this study proposes a novel calibration method.Initially,the calibration mechanism of the laser beam axis is established.Based on the accurate mathematical model of the laser beam and the measuring rod,and using the polygon clipping algorithm,the mathematical mechanism of the laser tool setter’s work is established.Then,a novel method is introduced to calculate the compensation distance between the laser beam reference point and the rod bottom center point at each moment during calibration.Furthermore,by utilizing the kinematic chain of the tool setter calibration system,a new calibration method is developed to accurately calibrate the position of the laser beam axis in the machine tool coordinate system.Finally,the accuracy of the calibration method is verified through simulation experiments and calibration tests.This method improves the calibration accuracy of the tool setter,and the mathematical model of the laser tool setter can be extended to the measurement of tools,thereby improving the precision of tool measurements.This research significantly improves the efficient production performance of smart machine tools.
文摘Determining the tectonic setting of unknown volcanic rocks continues to be one of the key challenges in geoscience.While discrimination diagrams have been successfully employed due to their ease of use,recently,validation with big data has raised questions about their performance.In this study,the discrimination boundaries of Th/Yb versus(vs.)Nb/Yb and TiO2/Yb vs.Nb/Yb diagrams,which are the most used types of discrimination diagrams,were redefined based on a large amount of compiled data and support vector machine,a machine learning method.The effectiveness of discrimination diagrams was verified,and the limitations and conditions when using them were clarified.The results show that when using the Th/Yb vs.Nb/Yb diagram,only basalts with Th/Yb ratios higher than the discrimination boundary can be identified as volcanic arcs in origin.In contrast,a significant overlap occurs across boundaries in other cases when using these diagrams,particularly for enriched samples with Nb/Yb ratios higher than five.Therefore,when using these diagrams to determine the tectonic setting of unknown samples,their limitations must be considered when interpreting their results.
