Minimizing tissue damage during blade cutting is vital for optimal surgical outcomes. However, the elastomeric properties of tissues require that they be considerably deformed before cut initiation, resulting in physical damage. Thus, the blade indentation depth required for cut initiation must be reduced by enhancing the cut-initiation ability of a process. In this study, factors that influence the cut initiation of elastomeric solids are identified by investigating the tensile stress states beneath the blade that trigger cut initiation. Finite element simulations are used to analyze interfacial interactions between the blade and workpiece and their relation to the stress states. Results show that the distribution of the in-plane stretch of the workpiece surface along the blade surface plays a key role in determining the stress states and the resulting cut-initiation ability. The effects of process parameters, including interfacial friction, blade tip geometry, blade motion, and workpiece size, are examined and discussed by analyzing the corresponding in-plane surface stretch distribution. This study offers a fundamental understanding of cut initiation in elastomeric solid cutting for improving surgical cutting tasks.
{"title":"Numerical investigation of elastomeric solid cutting: Enhancing cut initiation for minimally invasive biological tissue cutting","authors":"Urara Satake, Ryutaro Sambe, Toshiyuki Enomoto","doi":"10.1115/1.4064978","DOIUrl":"https://doi.org/10.1115/1.4064978","url":null,"abstract":"\u0000 Minimizing tissue damage during blade cutting is vital for optimal surgical outcomes. However, the elastomeric properties of tissues require that they be considerably deformed before cut initiation, resulting in physical damage. Thus, the blade indentation depth required for cut initiation must be reduced by enhancing the cut-initiation ability of a process. In this study, factors that influence the cut initiation of elastomeric solids are identified by investigating the tensile stress states beneath the blade that trigger cut initiation. Finite element simulations are used to analyze interfacial interactions between the blade and workpiece and their relation to the stress states. Results show that the distribution of the in-plane stretch of the workpiece surface along the blade surface plays a key role in determining the stress states and the resulting cut-initiation ability. The effects of process parameters, including interfacial friction, blade tip geometry, blade motion, and workpiece size, are examined and discussed by analyzing the corresponding in-plane surface stretch distribution. This study offers a fundamental understanding of cut initiation in elastomeric solid cutting for improving surgical cutting tasks.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140086215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"2023 Reviewers","authors":"Elizabeth Bruce","doi":"10.1115/1.4064861","DOIUrl":"https://doi.org/10.1115/1.4064861","url":null,"abstract":"","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140426201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Laser surface texturing uses a pulsed laser that is scanned on the surface, wherein each pulse produces a crater through material ablation. A variety of textures can be generated depending on the laser parameters and the overlap of the laser spots. This work presents a computational model that can predict the topography of a textured surface produced using a nanosecond pulsed laser. The model involves a multi-physics approach that considers laser ablation with plasma effects and the melt pool fluid dynamics to obtain the crater profile for a single pulse. The 3D surface profile obtained from the single pulse model is mathematically superimposed to mimic the spatial overlapping of multiple pulses. The model predicts surface topography when a laser is scanned along a linear track with successive overlapping tracks. The experiments have confirmed that the proposed model has an accuracy greater than 90 % in predicting surface roughness (Sa), as well as volume parameters such as core void volume (Vvc) and valley void volume (Vvv). It was observed that the variation of these surface characteristics is highly non-linear with the process parameters. Furthermore, the model is used to design engineered surfaces to modify friction coefficient, adhesion, and leakage probability. It is demonstrated that the surface parameters for functional requirements can be modified significantly just by varying the overlap of the laser spots in different directions. The proposed model can be used to create textured surfaces for various applications through an appropriate choice of laser parameters and scanning parameters.
{"title":"A 3D computational model of nanosecond pulsed laser texturing of metals for designing engineered surfaces","authors":"V. Narayanan, Ramesh Singh, Deepak Marla","doi":"10.1115/1.4064833","DOIUrl":"https://doi.org/10.1115/1.4064833","url":null,"abstract":"\u0000 Laser surface texturing uses a pulsed laser that is scanned on the surface, wherein each pulse produces a crater through material ablation. A variety of textures can be generated depending on the laser parameters and the overlap of the laser spots. This work presents a computational model that can predict the topography of a textured surface produced using a nanosecond pulsed laser. The model involves a multi-physics approach that considers laser ablation with plasma effects and the melt pool fluid dynamics to obtain the crater profile for a single pulse. The 3D surface profile obtained from the single pulse model is mathematically superimposed to mimic the spatial overlapping of multiple pulses. The model predicts surface topography when a laser is scanned along a linear track with successive overlapping tracks. The experiments have confirmed that the proposed model has an accuracy greater than 90 % in predicting surface roughness (Sa), as well as volume parameters such as core void volume (Vvc) and valley void volume (Vvv). It was observed that the variation of these surface characteristics is highly non-linear with the process parameters. Furthermore, the model is used to design engineered surfaces to modify friction coefficient, adhesion, and leakage probability. It is demonstrated that the surface parameters for functional requirements can be modified significantly just by varying the overlap of the laser spots in different directions. The proposed model can be used to create textured surfaces for various applications through an appropriate choice of laser parameters and scanning parameters.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140438750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aaron Cornelius, Jaydeep Karandikar, Christopher Tyler, Tony Schmitz
Process damping can provide improved machining productivity by increasing the stability limit at low spindle speeds. However, existing methods for identifying process damping models experimentally require specialized setups and/or multiple cutting tests. While the phenomenon is well known, the modeling challenges limit pre-process parameter selection that leverages the potential increases in material removal rates. This paper proposes a physics-informed Bayesian method that can identify the cutting force and process damping models from a limited set of test cuts without requiring direct measurements of cutting force or vibration. The method uses time domain simulation to incorporate process damping and provide a basis for test selection. New strategies for efficient sampling and dimensionality reduction are applied to lower computation time and minimize the effect of model error. The proposed method is demonstrated and the identified cutting and damping force coefficients are compared to values obtained using machining tests and least-squares fitting.
{"title":"Process damping identification using Bayesian learning and time domain simulation","authors":"Aaron Cornelius, Jaydeep Karandikar, Christopher Tyler, Tony Schmitz","doi":"10.1115/1.4064832","DOIUrl":"https://doi.org/10.1115/1.4064832","url":null,"abstract":"\u0000 Process damping can provide improved machining productivity by increasing the stability limit at low spindle speeds. However, existing methods for identifying process damping models experimentally require specialized setups and/or multiple cutting tests. While the phenomenon is well known, the modeling challenges limit pre-process parameter selection that leverages the potential increases in material removal rates. This paper proposes a physics-informed Bayesian method that can identify the cutting force and process damping models from a limited set of test cuts without requiring direct measurements of cutting force or vibration. The method uses time domain simulation to incorporate process damping and provide a basis for test selection. New strategies for efficient sampling and dimensionality reduction are applied to lower computation time and minimize the effect of model error. The proposed method is demonstrated and the identified cutting and damping force coefficients are compared to values obtained using machining tests and least-squares fitting.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140441052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fly cutting is widely used in manufacturing of large-scale, high-precision optical components. However, the discontinuity of fly cutting machining leads to significant relative vibrations between the tool and the workpiece. The cutting process generates periodic waves along the cutting direction, which will deteriorate the wavefront characteristics of optical components. Based on the machining dynamics, this paper proposes a direct integration method to predict the waviness error of the machined surface. The cutting force model of fly cutting is established. The multi-mode characteristics of the spindle-tool system are measured by the experimental method. Then the influence of uncertainties on the calculation results is analyzed by the variance-based sensitivity analysis method. Finally, the plane cutting experiment verifies that the direct integration method effectively predicts the waviness error and its variation trend, and the prediction method is important for optimization of the machining parameters.
{"title":"Prediction of the waviness error in ultra-precision fly cutting using the direct integration method","authors":"Jinchun Yuan, Jiasheng Li, Wei Wei, Ye Ding","doi":"10.1115/1.4064834","DOIUrl":"https://doi.org/10.1115/1.4064834","url":null,"abstract":"\u0000 Fly cutting is widely used in manufacturing of large-scale, high-precision optical components. However, the discontinuity of fly cutting machining leads to significant relative vibrations between the tool and the workpiece. The cutting process generates periodic waves along the cutting direction, which will deteriorate the wavefront characteristics of optical components. Based on the machining dynamics, this paper proposes a direct integration method to predict the waviness error of the machined surface. The cutting force model of fly cutting is established. The multi-mode characteristics of the spindle-tool system are measured by the experimental method. Then the influence of uncertainties on the calculation results is analyzed by the variance-based sensitivity analysis method. Finally, the plane cutting experiment verifies that the direct integration method effectively predicts the waviness error and its variation trend, and the prediction method is important for optimization of the machining parameters.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140441960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Simultaneously guaranteeing material removal accuracy and surface quality of robotic grinding is crucial. However, existing studies of robotic grinding process optimization have mainly focused on a single indicator that solely considers contour error or surface roughness, while studies that simultaneously investigate the impact of contact force, spindle speed, feed rate, inclination angle, and path space on the material removal profile (MRP) and the surface roughness are lacking. This paper proposes a hybrid optimization method that considers dimensional accuracy and surface quality constraints. First, an MRP model that considers the coupling influence of the contact force, spindle speed, feed rate, and inclination angle is presented. Then, a surface roughness model that considers the inclination angle is established. Finally, the contact force, feed rate, inclination angle, and path space are simultaneously optimized to satisfy the hybrid constraints of MRP accuracy and surface roughness. The proposed method ensures maximum grinding efficiency while satisfying dimensional accuracy and surface quality constraints. The proposed method is verified on an industrial robotics grinding system with a pneumatic force-controlled actuator. The results show that the proposed method has higher profile accuracy and lower surface roughness than traditional methods.
{"title":"Process optimization of robotic grinding to guarantee material removal accuracy and surface quality simultaneously","authors":"Dingwei Li, Jixiang Yang, Han Ding","doi":"10.1115/1.4064808","DOIUrl":"https://doi.org/10.1115/1.4064808","url":null,"abstract":"\u0000 Simultaneously guaranteeing material removal accuracy and surface quality of robotic grinding is crucial. However, existing studies of robotic grinding process optimization have mainly focused on a single indicator that solely considers contour error or surface roughness, while studies that simultaneously investigate the impact of contact force, spindle speed, feed rate, inclination angle, and path space on the material removal profile (MRP) and the surface roughness are lacking. This paper proposes a hybrid optimization method that considers dimensional accuracy and surface quality constraints. First, an MRP model that considers the coupling influence of the contact force, spindle speed, feed rate, and inclination angle is presented. Then, a surface roughness model that considers the inclination angle is established. Finally, the contact force, feed rate, inclination angle, and path space are simultaneously optimized to satisfy the hybrid constraints of MRP accuracy and surface roughness. The proposed method ensures maximum grinding efficiency while satisfying dimensional accuracy and surface quality constraints. The proposed method is verified on an industrial robotics grinding system with a pneumatic force-controlled actuator. The results show that the proposed method has higher profile accuracy and lower surface roughness than traditional methods.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140450168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The proposed novel polishing method, Hybrid-Electrochemical Magnetorheological (H-ECMR) finishing, combines electrochemical reaction and mechanical abrasion on the workpiece surface to reduce finishing time. Moreover, H-ECMR finishing on the biomaterial surface produces a uniform, thick passive oxide layer to improve corrosion resistance. Herein, the electrolytic solution facilitates the chemical reaction and acts as a carrier medium for Carbonyl Iron Particles (CIPs) in Magnetorheological (MR) fluid. The effectiveness of the H-ECMR process is evaluated based on various surface roughness parameters (i.e., average surface roughness (Ra), skewness (Rsk), and kurtosis (Rku)) and compared with the conventional Magnetorheological Finishing (MRF) process. A 96.41% reduction in Ra value is achieved in the H-ECMR finishing process compared to 49.63% in MRF for identical polishing time. Furthermore, an analytical model is developed to evaluate the final Ra achieved from the developed H-ECMR finishing process and agrees well with the experimental results. Moreover, the electrochemical reaction forms a uniform and thick oxide layer on the Ti-6Al-4V surface as layer thickness increases to 78 nm from its initial value of 8 nm. The impact of different process parameters on surface roughness values is also analyzed to determine the optimized value of the input variables. A case study is performed on the femoral head of the hip implant, and the Ra value is reduced to 21.36 nm from its initial value of 326 nm through the contour-parallel radial toolpath strategy during H-ECMR finishing.
{"title":"A Hybrid-Electrochemical Magnetorheological (H-ECMR) Finishing Process for Surface Enhancement of Biomedical Implants","authors":"A. Rajput, Manas Das, S. Kapil","doi":"10.1115/1.4064737","DOIUrl":"https://doi.org/10.1115/1.4064737","url":null,"abstract":"\u0000 The proposed novel polishing method, Hybrid-Electrochemical Magnetorheological (H-ECMR) finishing, combines electrochemical reaction and mechanical abrasion on the workpiece surface to reduce finishing time. Moreover, H-ECMR finishing on the biomaterial surface produces a uniform, thick passive oxide layer to improve corrosion resistance. Herein, the electrolytic solution facilitates the chemical reaction and acts as a carrier medium for Carbonyl Iron Particles (CIPs) in Magnetorheological (MR) fluid. The effectiveness of the H-ECMR process is evaluated based on various surface roughness parameters (i.e., average surface roughness (Ra), skewness (Rsk), and kurtosis (Rku)) and compared with the conventional Magnetorheological Finishing (MRF) process. A 96.41% reduction in Ra value is achieved in the H-ECMR finishing process compared to 49.63% in MRF for identical polishing time. Furthermore, an analytical model is developed to evaluate the final Ra achieved from the developed H-ECMR finishing process and agrees well with the experimental results. Moreover, the electrochemical reaction forms a uniform and thick oxide layer on the Ti-6Al-4V surface as layer thickness increases to 78 nm from its initial value of 8 nm. The impact of different process parameters on surface roughness values is also analyzed to determine the optimized value of the input variables. A case study is performed on the femoral head of the hip implant, and the Ra value is reduced to 21.36 nm from its initial value of 326 nm through the contour-parallel radial toolpath strategy during H-ECMR finishing.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139849977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The proposed novel polishing method, Hybrid-Electrochemical Magnetorheological (H-ECMR) finishing, combines electrochemical reaction and mechanical abrasion on the workpiece surface to reduce finishing time. Moreover, H-ECMR finishing on the biomaterial surface produces a uniform, thick passive oxide layer to improve corrosion resistance. Herein, the electrolytic solution facilitates the chemical reaction and acts as a carrier medium for Carbonyl Iron Particles (CIPs) in Magnetorheological (MR) fluid. The effectiveness of the H-ECMR process is evaluated based on various surface roughness parameters (i.e., average surface roughness (Ra), skewness (Rsk), and kurtosis (Rku)) and compared with the conventional Magnetorheological Finishing (MRF) process. A 96.41% reduction in Ra value is achieved in the H-ECMR finishing process compared to 49.63% in MRF for identical polishing time. Furthermore, an analytical model is developed to evaluate the final Ra achieved from the developed H-ECMR finishing process and agrees well with the experimental results. Moreover, the electrochemical reaction forms a uniform and thick oxide layer on the Ti-6Al-4V surface as layer thickness increases to 78 nm from its initial value of 8 nm. The impact of different process parameters on surface roughness values is also analyzed to determine the optimized value of the input variables. A case study is performed on the femoral head of the hip implant, and the Ra value is reduced to 21.36 nm from its initial value of 326 nm through the contour-parallel radial toolpath strategy during H-ECMR finishing.
{"title":"A Hybrid-Electrochemical Magnetorheological (H-ECMR) Finishing Process for Surface Enhancement of Biomedical Implants","authors":"A. Rajput, Manas Das, S. Kapil","doi":"10.1115/1.4064737","DOIUrl":"https://doi.org/10.1115/1.4064737","url":null,"abstract":"\u0000 The proposed novel polishing method, Hybrid-Electrochemical Magnetorheological (H-ECMR) finishing, combines electrochemical reaction and mechanical abrasion on the workpiece surface to reduce finishing time. Moreover, H-ECMR finishing on the biomaterial surface produces a uniform, thick passive oxide layer to improve corrosion resistance. Herein, the electrolytic solution facilitates the chemical reaction and acts as a carrier medium for Carbonyl Iron Particles (CIPs) in Magnetorheological (MR) fluid. The effectiveness of the H-ECMR process is evaluated based on various surface roughness parameters (i.e., average surface roughness (Ra), skewness (Rsk), and kurtosis (Rku)) and compared with the conventional Magnetorheological Finishing (MRF) process. A 96.41% reduction in Ra value is achieved in the H-ECMR finishing process compared to 49.63% in MRF for identical polishing time. Furthermore, an analytical model is developed to evaluate the final Ra achieved from the developed H-ECMR finishing process and agrees well with the experimental results. Moreover, the electrochemical reaction forms a uniform and thick oxide layer on the Ti-6Al-4V surface as layer thickness increases to 78 nm from its initial value of 8 nm. The impact of different process parameters on surface roughness values is also analyzed to determine the optimized value of the input variables. A case study is performed on the femoral head of the hip implant, and the Ra value is reduced to 21.36 nm from its initial value of 326 nm through the contour-parallel radial toolpath strategy during H-ECMR finishing.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139790153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Faissal Chegdani, M. El Mansori, Stéphane Bessonnet, S. Pinault
This paper aims to investigate the cutting behavior of optical glassy polymers in order to identify the shape defects induced by the micro-machining processes. Polycarbonate (PC), Allyl Diglycol Carbonate (CR39), and polythiourethane (MR7) polymers are considered in this study to perform micro-machining experiments using the orthogonal cutting configuration. The comparative analysis is carried out by conducting the cutting experiments on hybrid samples that are composed of two types of polymers (MR7-PC, CR39-PC, and MR7-CR39), and then comparing the topographic state of the machined hybrid surfaces. Results show that PC is by far the polymer that generates the most shape defects because of its high rate of spring-back. This finding has been validated by nanoindentation experiments that reveal the highest mechanical reaction of PC at the time of nanoindentation unloading. This study demonstrates also that the measured thrust forces could be an indicator for predicting the spring-back defects induced by micro-machining.
本文旨在研究光学玻璃聚合物的切削行为，以确定微加工过程中诱发的形状缺陷。本研究考虑了聚碳酸酯（PC）、碳酸二乙二醇烯丙酯（CR39）和聚硫氨酸（MR7）聚合物，使用正交切割配置进行微加工实验。通过对由两种聚合物（MR7-PC、CR39-PC 和 MR7-CR39）组成的混合样品进行切削实验，然后比较加工后混合表面的形貌状态，从而进行比较分析。结果表明，PC 是迄今为止产生形状缺陷最多的聚合物，因为它的回弹率很高。纳米压痕实验也验证了这一发现，实验显示 PC 在纳米压痕卸载时的机械反应最高。这项研究还表明，测得的推力可以作为预测微加工引起的回弹缺陷的指标。
{"title":"Comparative analysis of shape defects induced by the micro-machining of glassy polymers","authors":"Faissal Chegdani, M. El Mansori, Stéphane Bessonnet, S. Pinault","doi":"10.1115/1.4064693","DOIUrl":"https://doi.org/10.1115/1.4064693","url":null,"abstract":"\u0000 This paper aims to investigate the cutting behavior of optical glassy polymers in order to identify the shape defects induced by the micro-machining processes. Polycarbonate (PC), Allyl Diglycol Carbonate (CR39), and polythiourethane (MR7) polymers are considered in this study to perform micro-machining experiments using the orthogonal cutting configuration. The comparative analysis is carried out by conducting the cutting experiments on hybrid samples that are composed of two types of polymers (MR7-PC, CR39-PC, and MR7-CR39), and then comparing the topographic state of the machined hybrid surfaces. Results show that PC is by far the polymer that generates the most shape defects because of its high rate of spring-back. This finding has been validated by nanoindentation experiments that reveal the highest mechanical reaction of PC at the time of nanoindentation unloading. This study demonstrates also that the measured thrust forces could be an indicator for predicting the spring-back defects induced by micro-machining.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139855259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Faissal Chegdani, M. El Mansori, Stéphane Bessonnet, S. Pinault
This paper aims to investigate the cutting behavior of optical glassy polymers in order to identify the shape defects induced by the micro-machining processes. Polycarbonate (PC), Allyl Diglycol Carbonate (CR39), and polythiourethane (MR7) polymers are considered in this study to perform micro-machining experiments using the orthogonal cutting configuration. The comparative analysis is carried out by conducting the cutting experiments on hybrid samples that are composed of two types of polymers (MR7-PC, CR39-PC, and MR7-CR39), and then comparing the topographic state of the machined hybrid surfaces. Results show that PC is by far the polymer that generates the most shape defects because of its high rate of spring-back. This finding has been validated by nanoindentation experiments that reveal the highest mechanical reaction of PC at the time of nanoindentation unloading. This study demonstrates also that the measured thrust forces could be an indicator for predicting the spring-back defects induced by micro-machining.
本文旨在研究光学玻璃聚合物的切削行为，以确定微加工过程中诱发的形状缺陷。本研究考虑了聚碳酸酯（PC）、碳酸二乙二醇烯丙酯（CR39）和聚硫氨酸（MR7）聚合物，使用正交切割配置进行微加工实验。通过对由两种聚合物（MR7-PC、CR39-PC 和 MR7-CR39）组成的混合样品进行切削实验，然后比较加工后混合表面的形貌状态，从而进行比较分析。结果表明，PC 是迄今为止产生形状缺陷最多的聚合物，因为它的回弹率很高。纳米压痕实验也验证了这一发现，实验显示 PC 在纳米压痕卸载时的机械反应最高。这项研究还表明，测得的推力可以作为预测微加工引起的回弹缺陷的指标。
{"title":"Comparative analysis of shape defects induced by the micro-machining of glassy polymers","authors":"Faissal Chegdani, M. El Mansori, Stéphane Bessonnet, S. Pinault","doi":"10.1115/1.4064693","DOIUrl":"https://doi.org/10.1115/1.4064693","url":null,"abstract":"\u0000 This paper aims to investigate the cutting behavior of optical glassy polymers in order to identify the shape defects induced by the micro-machining processes. Polycarbonate (PC), Allyl Diglycol Carbonate (CR39), and polythiourethane (MR7) polymers are considered in this study to perform micro-machining experiments using the orthogonal cutting configuration. The comparative analysis is carried out by conducting the cutting experiments on hybrid samples that are composed of two types of polymers (MR7-PC, CR39-PC, and MR7-CR39), and then comparing the topographic state of the machined hybrid surfaces. Results show that PC is by far the polymer that generates the most shape defects because of its high rate of spring-back. This finding has been validated by nanoindentation experiments that reveal the highest mechanical reaction of PC at the time of nanoindentation unloading. This study demonstrates also that the measured thrust forces could be an indicator for predicting the spring-back defects induced by micro-machining.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139795216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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