Pub Date : 2024-10-07DOI: 10.1016/j.cirpj.2024.09.012
Jan Mertes , Christian Schellenberger , Li Yi , Marius Schmitz , Moritz Glatt , Matthias Klar , Bahram Ravani , Hans D. Schotten , Jan C. Aurich
The 5G mobile communication standard can potentially meet the networking requirements for different industrial use cases simultaneously due to the promised low latency, high bandwidth, and high device density while providing a high quality of service. These capabilities enable the realization of digital twins (DTs) that are based on edge computing for time- and safety-critical wireless applications. However, the investigation of the applicability of 5G for DTs in real-world manufacturing scenarios is still lacking. In this work, we have evaluated a DT based on edge-computing and 5G mobile communication using extensive experiments. We have focused on the communication technology and requirements needed to enable functionalities on edge devices. The key contribution of this paper is a comprehensive experimental study on 5G performance characteristics in an existing manufacturing system. Moreover, the influence of 5G on the functionality of the edge-based DT is evaluated and discussed. Full factorial experiments with different network configurations are designed and conducted. The performance of communication characteristics (latency, jitter) is evaluated as well as the impact on the continuity between real and digital processes. The results are also compared with the WiFi standard by experimental evaluation. At last, the limits of current 5G networks for manufacturing are discussed.
{"title":"Experimental evaluation of 5G performance based on a digital twin of a machine tool","authors":"Jan Mertes , Christian Schellenberger , Li Yi , Marius Schmitz , Moritz Glatt , Matthias Klar , Bahram Ravani , Hans D. Schotten , Jan C. Aurich","doi":"10.1016/j.cirpj.2024.09.012","DOIUrl":"10.1016/j.cirpj.2024.09.012","url":null,"abstract":"<div><div>The 5G mobile communication standard can potentially meet the networking requirements for different industrial use cases simultaneously due to the promised low latency, high bandwidth, and high device density while providing a high quality of service. These capabilities enable the realization of digital twins (DTs) that are based on edge computing for time- and safety-critical wireless applications. However, the investigation of the applicability of 5G for DTs in real-world manufacturing scenarios is still lacking. In this work, we have evaluated a DT based on edge-computing and 5G mobile communication using extensive experiments. We have focused on the communication technology and requirements needed to enable functionalities on edge devices. The key contribution of this paper is a comprehensive experimental study on 5G performance characteristics in an existing manufacturing system. Moreover, the influence of 5G on the functionality of the edge-based DT is evaluated and discussed. Full factorial experiments with different network configurations are designed and conducted. The performance of communication characteristics (latency, jitter) is evaluated as well as the impact on the continuity between real and digital processes. The results are also compared with the WiFi standard by experimental evaluation. At last, the limits of current 5G networks for manufacturing are discussed.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 141-152"},"PeriodicalIF":4.6,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-04DOI: 10.1016/j.cirpj.2024.09.014
Vahid Ostad Ali Akbari , Andrea Eichenberger , Konrad Wegener
Chatter stability of milling operations is a complicated phenomenon causing serious productivity issues in the manufacturing industry, yet a shop-floor implementable solution is lacking. This paper follows a physics-supported Bayesian machine learning approach and incorporates the potential effect of process damping on the stability of the process. Using a likelihood function based on the Nyquist stability criterion, the learning system monitors the actual stability state of the process during arbitrary cuts and refines the underlying model parameter uncertainties in the structural dynamics, cutting force coefficients, as well as the process damping. The framework can operate with limited training data and display the remaining uncertainties in stability predictions to the machine operator. Experimental case studies show the effectiveness of the proposed method and highlight the importance of considering process damping for certain endmills.
{"title":"Physics-supported Bayesian machine learning for chatter prediction with process damping in milling","authors":"Vahid Ostad Ali Akbari , Andrea Eichenberger , Konrad Wegener","doi":"10.1016/j.cirpj.2024.09.014","DOIUrl":"10.1016/j.cirpj.2024.09.014","url":null,"abstract":"<div><div>Chatter stability of milling operations is a complicated phenomenon causing serious productivity issues in the manufacturing industry, yet a shop-floor implementable solution is lacking. This paper follows a physics-supported Bayesian machine learning approach and incorporates the potential effect of process damping on the stability of the process. Using a likelihood function based on the Nyquist stability criterion, the learning system monitors the actual stability state of the process during arbitrary cuts and refines the underlying model parameter uncertainties in the structural dynamics, cutting force coefficients, as well as the process damping. The framework can operate with limited training data and display the remaining uncertainties in stability predictions to the machine operator. Experimental case studies show the effectiveness of the proposed method and highlight the importance of considering process damping for certain endmills.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 165-173"},"PeriodicalIF":4.6,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-04DOI: 10.1016/j.cirpj.2024.09.011
S. Arun, M. Manikandan, Jino Joshy, Basil Kuriachen, Jose Mathew
The micro electrical discharge machining (µ-EDM) process is one of the most widely used techniques to produce miniaturized components in micro-electro mechanical system (MEMS) applications due to its inherent advantages. This work investigates the wear phenomena and the morphology of the copper electrodes during the micro-die sinking process. A numerical model of a single spark is developed assuming the Gaussian distribution of heat flux to estimate the crater dimensions formed in the copper tool electrode (tool wear) used as a result of electric discharge. The crater dimension attained from the ABAQUS finite element model is validated with experimental results using a single spark test setup. Moreover, the effect of input parameters namely capacitance and voltage on the electrode wear rate and surface roughness is also studied. The crater dimensions from the single discharge study are used to formulate the wear model for different possibilities of crater distribution, such as non-overlapping craters, craters with less than 30 % overlap, and 50 % overlap. The electrode wear rate (EWR) also displayed a decline from 20.4 % to 11.6 % and further to 8 % when the overlap was permitted up to 30 % and up to 50 % for the wear model respectively. The developed model results are further compared with experimental results in terms of the electrode wear rate and depth of erosion and the deviations are found to be 20.33 % and 20.55 % respectively
{"title":"Numerical modelling and experimental investigations to predict the tool wear of copper electrodes during µ-EDM process","authors":"S. Arun, M. Manikandan, Jino Joshy, Basil Kuriachen, Jose Mathew","doi":"10.1016/j.cirpj.2024.09.011","DOIUrl":"10.1016/j.cirpj.2024.09.011","url":null,"abstract":"<div><div>The micro electrical discharge machining (µ-EDM) process is one of the most widely used techniques to produce miniaturized components in micro-electro mechanical system (MEMS) applications due to its inherent advantages. This work investigates the wear phenomena and the morphology of the copper electrodes during the micro-die sinking process. A numerical model of a single spark is developed assuming the Gaussian distribution of heat flux to estimate the crater dimensions formed in the copper tool electrode (tool wear) used as a result of electric discharge. The crater dimension attained from the ABAQUS finite element model is validated with experimental results using a single spark test setup. Moreover, the effect of input parameters namely capacitance and voltage on the electrode wear rate and surface roughness is also studied. The crater dimensions from the single discharge study are used to formulate the wear model for different possibilities of crater distribution, such as non-overlapping craters, craters with less than 30 % overlap, and 50 % overlap. The electrode wear rate (EWR) also displayed a decline from 20.4 % to 11.6 % and further to 8 % when the overlap was permitted up to 30 % and up to 50 % for the wear model respectively. The developed model results are further compared with experimental results in terms of the electrode wear rate and depth of erosion and the deviations are found to be 20.33 % and 20.55 % respectively</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 174-187"},"PeriodicalIF":4.6,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The limited computing capacity makes it difficult to plan a suitable feedrate profile in real-time for high speed and high accuracy machining of five-axis parametric toolpaths. In this paper, a real-time interpolation algorithm with optimised control of flexible acceleration and deceleration (acc-dec) for the dual NURBS toolpath is proposed. The toolpath is marked as subsegments with similar geometric properties by introducing the five-axis curvature. Machine kinematic and toolpath geometry constraints are considered in the kinematic parameter constraint model. Initial feedrate profiles are solved in a dynamic 3D window which preserves the motion performance of machine tools to a great extent. Convolution is used to smooth the initial feedrate profile to achieve a higher order continuity over the global range. Feedrate fluctuations caused by imprecise parameter interpolation are eliminated through modifying each interpolation periods. Resampling adjusts the position of interpolation points and unify the interpolation periods. All operations mentioned are in series and real-time is strictly guaranteed. Effectiveness of the developed algorithm is validated in simulations and also experimentally on a Self-developed-NC controlled 5-axis machine tool.
{"title":"A real-time dual NURBS interpolator with optimised control of flexible acceleration and deceleration for five-axis CNC machining","authors":"Fei Lou , Hengbo Li , Zhebin Shen , Haorong Zhang , Peng Zhang , Yijie Wu","doi":"10.1016/j.cirpj.2024.09.015","DOIUrl":"10.1016/j.cirpj.2024.09.015","url":null,"abstract":"<div><div>The limited computing capacity makes it difficult to plan a suitable feedrate profile in real-time for high speed and high accuracy machining of five-axis parametric toolpaths. In this paper, a real-time interpolation algorithm with optimised control of flexible acceleration and deceleration (acc-dec) for the dual NURBS toolpath is proposed. The toolpath is marked as subsegments with similar geometric properties by introducing the five-axis curvature. Machine kinematic and toolpath geometry constraints are considered in the kinematic parameter constraint model. Initial feedrate profiles are solved in a dynamic 3D window which preserves the motion performance of machine tools to a great extent. Convolution is used to smooth the initial feedrate profile to achieve a higher order continuity over the global range. Feedrate fluctuations caused by imprecise parameter interpolation are eliminated through modifying each interpolation periods. Resampling adjusts the position of interpolation points and unify the interpolation periods. All operations mentioned are in series and real-time is strictly guaranteed. Effectiveness of the developed algorithm is validated in simulations and also experimentally on a Self-developed-NC controlled 5-axis machine tool.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 153-164"},"PeriodicalIF":4.6,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-27DOI: 10.1016/j.cirpj.2024.09.013
Jianing Wang , Huiyong Liu , Xiaoling Qi , Yingda Wang , Wei Ma , Song Zhang
Tool wear prediction is key to ensuring product quality and machining efficiency. However, the prediction results of most models are unstable or inaccurate. To address the issues, a tool wear prediction model, based on support vector regression which was optimized by differential evolution and gray wolf optimization algorithms, was proposed in this paper. The method optimized the parameters of support vector regression model through differential evolution and grey wolf optimization algorithms to make the model more balanced in terms of its global and local search capabilities. First, the vibration and power signals were collected by sensors during the milling processes. Then, the features extraction and features selection were performed on the vibration and power signals. Next, the proposed model was developed and trained. Finally, the tool wear was predicted using the proposed model. The results showed that the proposed model had better performance than other models in terms of prediction accuracy and prediction efficiency, and it was applicable to the condition of multiple cutting parameters with generalizability, which will provide some valuable technical support for machining.
{"title":"Tool wear prediction based on SVR optimized by hybrid differential evolution and grey wolf optimization algorithms","authors":"Jianing Wang , Huiyong Liu , Xiaoling Qi , Yingda Wang , Wei Ma , Song Zhang","doi":"10.1016/j.cirpj.2024.09.013","DOIUrl":"10.1016/j.cirpj.2024.09.013","url":null,"abstract":"<div><div>Tool wear prediction is key to ensuring product quality and machining efficiency. However, the prediction results of most models are unstable or inaccurate. To address the issues, a tool wear prediction model, based on support vector regression which was optimized by differential evolution and gray wolf optimization algorithms, was proposed in this paper. The method optimized the parameters of support vector regression model through differential evolution and grey wolf optimization algorithms to make the model more balanced in terms of its global and local search capabilities. First, the vibration and power signals were collected by sensors during the milling processes. Then, the features extraction and features selection were performed on the vibration and power signals. Next, the proposed model was developed and trained. Finally, the tool wear was predicted using the proposed model. The results showed that the proposed model had better performance than other models in terms of prediction accuracy and prediction efficiency, and it was applicable to the condition of multiple cutting parameters with generalizability, which will provide some valuable technical support for machining.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 129-140"},"PeriodicalIF":4.6,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142326664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-24DOI: 10.1016/j.cirpj.2024.09.007
Trixi Meier, Jan Harald Selzam, Andreas Röckelein, Nico Hanenkamp
Liquid carbon dioxide (LCO2) based cryogenic cooling has shown promising results in terms of wear reduction, productivity increase and energy efficiency when machining high-temperature materials. For process-safe use with low pulsation, CO2 must be fed in the liquid state to cool the process zone. LCO2 is typically stored in riser bottles in which gaseous and liquid aggregate state coexist. A preliminary study has already shown that the liquefied state of the CO2 can be stabilized by pre-cooling. In this paper, the influence of a heat exchanger as a pre-cooling system on the cooling capacity of the CO2 is investigated and the required energy consumption is compared to unstabilized CO2, pressure increased CO2 and compressed air. It has been shown that pre-cooling leads to a more energy-efficient increase in the cooling capacity of the CO2 compared to pressure increased CO2.
{"title":"Investigation of the effects of CO2 pre-cooling on the cooling capacity for cryogenic cooling in machining operations","authors":"Trixi Meier, Jan Harald Selzam, Andreas Röckelein, Nico Hanenkamp","doi":"10.1016/j.cirpj.2024.09.007","DOIUrl":"10.1016/j.cirpj.2024.09.007","url":null,"abstract":"<div><div>Liquid carbon dioxide (LCO<sub>2</sub>) based cryogenic cooling has shown promising results in terms of wear reduction, productivity increase and energy efficiency when machining high-temperature materials. For process-safe use with low pulsation, CO<sub>2</sub> must be fed in the liquid state to cool the process zone. LCO<sub>2</sub> is typically stored in riser bottles in which gaseous and liquid aggregate state coexist. A preliminary study has already shown that the liquefied state of the CO<sub>2</sub> can be stabilized by pre-cooling. In this paper, the influence of a heat exchanger as a pre-cooling system on the cooling capacity of the CO<sub>2</sub> is investigated and the required energy consumption is compared to unstabilized CO<sub>2</sub>, pressure increased CO<sub>2</sub> and compressed air. It has been shown that pre-cooling leads to a more energy-efficient increase in the cooling capacity of the CO<sub>2</sub> compared to pressure increased CO<sub>2</sub>.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 88-97"},"PeriodicalIF":4.6,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755581724001445/pdfft?md5=c0639d136231d10500c10ba7297156ac&pid=1-s2.0-S1755581724001445-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142314466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-24DOI: 10.1016/j.cirpj.2024.09.008
Habip Gökay Korkmaz , Yusuf Furkan Yapan , Serkan Toros , Mevlüt Türköz
Ti-6Al-4V alloy, widely utilized in aerospace, medical industries, and specialized applications, boasts exceptional properties. However, its limited formability poses challenges in manufacturing processes. The pulsating loading method emerges as a promising solution to enhance formability in such materials. This study delves into the impact of stress relaxation and loading-unloading tests on the formability of Ti‑6Al‑4V alloy, conducting tensile tests on sheets of two different thicknesses: 0.5 mm and 2.65 mm. Investigating parameters such as pulse starting strain, relaxation time, and strain increment in stress relaxation experiments, as well as unloading ratio and strain increment in loading-unloading experiments, enabled a comprehensive comparison of the two pulsating loading methods across different sheet thicknesses. Results indicate a notable increase in material formability, up to approximately 20 % for the 2.65 mm thickness and up to 50 % for the 0.5 mm thickness compared to monotonic loading. Stress relaxation time emerged as the most influential parameter for both thicknesses. Additionally, XRD analysis was employed to elucidate the microstructural reasons behind the observed formability enhancement, while SEM imaging provided insights into the fracture surface morphology. This systematic approach sheds light on the microstructural mechanisms underlying the effect of pulsating loading on material behavior.
{"title":"A novel approach to enhance formability in Ti-6Al-4V alloy: Experimental investigations and microstructural analysis of pulsating tensile test","authors":"Habip Gökay Korkmaz , Yusuf Furkan Yapan , Serkan Toros , Mevlüt Türköz","doi":"10.1016/j.cirpj.2024.09.008","DOIUrl":"10.1016/j.cirpj.2024.09.008","url":null,"abstract":"<div><div>Ti-6Al-4V alloy, widely utilized in aerospace, medical industries, and specialized applications, boasts exceptional properties. However, its limited formability poses challenges in manufacturing processes. The pulsating loading method emerges as a promising solution to enhance formability in such materials. This study delves into the impact of stress relaxation and loading-unloading tests on the formability of Ti‑6Al‑4V alloy, conducting tensile tests on sheets of two different thicknesses: 0.5 mm and 2.65 mm. Investigating parameters such as pulse starting strain, relaxation time, and strain increment in stress relaxation experiments, as well as unloading ratio and strain increment in loading-unloading experiments, enabled a comprehensive comparison of the two pulsating loading methods across different sheet thicknesses. Results indicate a notable increase in material formability, up to approximately 20 % for the 2.65 mm thickness and up to 50 % for the 0.5 mm thickness compared to monotonic loading. Stress relaxation time emerged as the most influential parameter for both thicknesses. Additionally, XRD analysis was employed to elucidate the microstructural reasons behind the observed formability enhancement, while SEM imaging provided insights into the fracture surface morphology. This systematic approach sheds light on the microstructural mechanisms underlying the effect of pulsating loading on material behavior.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 98-107"},"PeriodicalIF":4.6,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142314467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The local asymmetry in the microstructure of friction stir welded joints in metallic materials is a widespread issue that significantly impacts their mechanical properties. However, the mechanisms underlying this local asymmetry remain unelucidated. This study aimed to investigate the microstructure and mechanical properties of friction stir welded joints in 18 mm-thick aluminum alloy plates. The mechanism underlying the asymmetric local microstructure and mechanical properties was investigated using transmission electron microscopy and finite element simulations. The simulation results revealed that the asymmetric distribution of temperature and equivalent plastic strain between the advancing side and retreating side of the weld led to varied distributions of precipitate phases and dislocation density. Specifically, the peak temperature difference in the transverse direction between the advancing side and retreating side ranged from 11.9 to 35.6 °C, with the advancing side being cooler, while the equivalent plastic strain was slightly higher on the advancing side. Microstructural characterization revealed a decreasing trend in the average volume fraction and size of precipitates on the advancing side in the normal direction. In the transverse direction, the volume fraction of precipitates on the advancing side was two to three times higher than that on the retreating side. Additionally, the geometrically necessary dislocation density was greater on the advancing side, ranging between 0.05 × 10 ¹ ⁴ and 0.20 × 10 ¹ ⁴ m⁻² Theoretical calculations of the strengthening mechanisms indicated that the mechanical property asymmetry between the advancing side and retreating side of the friction stir welded joints was primarily due to dislocation and precipitate strengthening. Mechanical property tests confirmed that the tensile strength and microhardness on the advancing side were significantly higher (by 7–19 MPa and 2–5 HV, respectively) compared to the retreating side, aligning with the theoretical calculations. This study affords valuable insights into friction stir welding technology for metallic materials and provides crucial information and theoretical foundations for optimizing welding processes.
{"title":"Asymmetric study on the microstructure and mechanical properties of friction stir welded joints: Finite element simulation and experiment","authors":"Wei Xue , Liyang Xiao , Changqing Huang , Diqiu He , Xiaoqiang Ren","doi":"10.1016/j.cirpj.2024.09.006","DOIUrl":"10.1016/j.cirpj.2024.09.006","url":null,"abstract":"<div><div>The local asymmetry in the microstructure of friction stir welded joints in metallic materials is a widespread issue that significantly impacts their mechanical properties. However, the mechanisms underlying this local asymmetry remain unelucidated. This study aimed to investigate the microstructure and mechanical properties of friction stir welded joints in 18 mm-thick aluminum alloy plates<em>.</em> The mechanism underlying the asymmetric local microstructure and mechanical properties was investigated using transmission electron microscopy and finite element simulations. The simulation results revealed that the asymmetric distribution of temperature and equivalent plastic strain between the advancing side and retreating side of the weld led to varied distributions of precipitate phases and dislocation density. Specifically, the peak temperature difference in the transverse direction between the advancing side and retreating side ranged from 11.9 to 35.6 °C, with the advancing side being cooler, while the equivalent plastic strain was slightly higher on the advancing side. Microstructural characterization revealed a decreasing trend in the average volume fraction and size of precipitates on the advancing side in the normal direction. In the transverse direction, the volume fraction of precipitates on the advancing side was two to three times higher than that on the retreating side. Additionally, the geometrically necessary dislocation density was greater on the advancing side, ranging between 0.05 × 10 ¹ ⁴ and 0.20 × 10 ¹ ⁴ m⁻² Theoretical calculations of the strengthening mechanisms indicated that the mechanical property asymmetry between the advancing side and retreating side of the friction stir welded joints was primarily due to dislocation and precipitate strengthening. Mechanical property tests confirmed that the tensile strength and microhardness on the advancing side were significantly higher (by 7–19 MPa and 2–5 HV, respectively) compared to the retreating side, aligning with the theoretical calculations. This study affords valuable insights into friction stir welding technology for metallic materials and provides crucial information and theoretical foundations for optimizing welding processes.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 108-128"},"PeriodicalIF":4.6,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142314469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-23DOI: 10.1016/j.cirpj.2024.09.004
Hunter R. Enos , Eden Navarrete , Gianluca Buffa , Livan Fratini , Hitomi Yamaguchi
This paper describes the analysis of continuous magnetic field-assisted double-sided incremental forming (M-DSIF), a derivation of magnetic field-assisted single-point incremental forming (M-SPIF). In M-DSIF, the driving magnet remains in contact with the workpiece and does not allow for relaxation between individual steps (called contours). M-DSIF enables forming of truncated cones much faster and more accurately than M-SPIF. The number of revolutions per contour of the tool greatly impacts the resulting shape. The proposed two-step M-DSIF is a viable option for distributing material from the center toward the corners of the cone base, which minimizes localized strain in the corners.
{"title":"Analysis of continuous magnetic field-assisted double-sided incremental forming","authors":"Hunter R. Enos , Eden Navarrete , Gianluca Buffa , Livan Fratini , Hitomi Yamaguchi","doi":"10.1016/j.cirpj.2024.09.004","DOIUrl":"10.1016/j.cirpj.2024.09.004","url":null,"abstract":"<div><div>This paper describes the analysis of continuous magnetic field-assisted double-sided incremental forming (M-DSIF), a derivation of magnetic field-assisted single-point incremental forming (M-SPIF). In M-DSIF, the driving magnet remains in contact with the workpiece and does not allow for relaxation between individual steps (called <em>contours</em>). M-DSIF enables forming of truncated cones much faster and more accurately than M-SPIF. The number of revolutions per contour of the tool greatly impacts the resulting shape. The proposed two-step M-DSIF is a viable option for distributing material from the center toward the corners of the cone base, which minimizes localized strain in the corners.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 81-87"},"PeriodicalIF":4.6,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142311604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-17DOI: 10.1016/j.cirpj.2024.09.009
Hepeng Jia , Kai Wu , Rongqing Liang , Rongjian Tai , Fengkun Li
The interface slip state of high-speed friction stir welding (HSFSW) is challenging to determine, and accurate boundary conditions cannot be obtained. First, this paper studies the effects of velocity and temperature on the interface slip state, and establishes a new slip coefficient equation. Then, this equation was used to modify the velocity boundary conditions and improve the numerical calculation method of HSFSW. A numerical model of HSFSW was established and validated through experimental data. Finally, the effects of traverse speed and rotational speed on the temperature and void defects of HSFSW were elaborated, and the applicable process parameter range was determined. Specifically, void defects were observed at a rotational speed of 6000 rpm with traverse speeds of 1000 mm/min and 2000 mm/min, while surface peeling occurred at a traverse speed of 3000 mm/min with a rotational speed of 7000 rpm. This study establishes the optimal parameter range for aluminum alloy HSFSW, providing valuable guidance for future industrial applications.
{"title":"An improved numerical model of high-speed friction stir welding using a new tool-workpiece slip ratio","authors":"Hepeng Jia , Kai Wu , Rongqing Liang , Rongjian Tai , Fengkun Li","doi":"10.1016/j.cirpj.2024.09.009","DOIUrl":"10.1016/j.cirpj.2024.09.009","url":null,"abstract":"<div><p>The interface slip state of high-speed friction stir welding (HSFSW) is challenging to determine, and accurate boundary conditions cannot be obtained. First, this paper studies the effects of velocity and temperature on the interface slip state, and establishes a new slip coefficient equation. Then, this equation was used to modify the velocity boundary conditions and improve the numerical calculation method of HSFSW. A numerical model of HSFSW was established and validated through experimental data. Finally, the effects of traverse speed and rotational speed on the temperature and void defects of HSFSW were elaborated, and the applicable process parameter range was determined. Specifically, void defects were observed at a rotational speed of 6000 rpm with traverse speeds of 1000 mm/min and 2000 mm/min, while surface peeling occurred at a traverse speed of 3000 mm/min with a rotational speed of 7000 rpm. This study establishes the optimal parameter range for aluminum alloy HSFSW, providing valuable guidance for future industrial applications.</p></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 71-80"},"PeriodicalIF":4.6,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142238225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}