Huy Pham, Van-Khien Nguyen, Quang-Khoa Dang, Thi Van Anh Duong, Duc-Thong Nguyen, Thanh-Vu Phan
APPROACH Vibration-assisted machining, a hybrid processing method, has been gaining considerable interest recently due to its advantages, such as increasing material removal rate, enhancing surface quality, reducing cutting forces and tool wear, improving tool life, or minimizing burr formation. Special equipment must be designed to integrate the additional vibration energy into the traditional system to exploit those spectacular characteristics. This paper proposes the design of a new 2-DOF high-precision compliant positioning mechanism using an optimization process combining the response surface method, finite element method, and Six Sigma analysis into a multi-objective genetic algorithm. The TOPSIS method is also used to select the best solution from the Pareto solution set. The optimum design was fabricated to assess its performance in a vibration-assisted milling experiment concerning surface roughness criteria. The results demonstrate significant enhancement in both the manufacturing criteria of surface quality and the design approach criteria since it eliminates modelling errors associated with analytical approaches during the synthesis and analysis of compliant mechanisms.
{"title":"Design Optimization of Compliant Mechanisms for Vibration- Assisted Machining Applications Using a Hybrid Six Sigma, RSM-FEM, and NSGA-II Approach","authors":"Huy Pham, Van-Khien Nguyen, Quang-Khoa Dang, Thi Van Anh Duong, Duc-Thong Nguyen, Thanh-Vu Phan","doi":"10.36897/jme/166500","DOIUrl":"https://doi.org/10.36897/jme/166500","url":null,"abstract":"APPROACH Vibration-assisted machining, a hybrid processing method, has been gaining considerable interest recently due to its advantages, such as increasing material removal rate, enhancing surface quality, reducing cutting forces and tool wear, improving tool life, or minimizing burr formation. Special equipment must be designed to integrate the additional vibration energy into the traditional system to exploit those spectacular characteristics. This paper proposes the design of a new 2-DOF high-precision compliant positioning mechanism using an optimization process combining the response surface method, finite element method, and Six Sigma analysis into a multi-objective genetic algorithm. The TOPSIS method is also used to select the best solution from the Pareto solution set. The optimum design was fabricated to assess its performance in a vibration-assisted milling experiment concerning surface roughness criteria. The results demonstrate significant enhancement in both the manufacturing criteria of surface quality and the design approach criteria since it eliminates modelling errors associated with analytical approaches during the synthesis and analysis of compliant mechanisms.","PeriodicalId":37821,"journal":{"name":"Journal of Machine Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49012901","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}
Reducing energy consumption is a necessity towards achieving the goal of net-zero manufacturing. In this paper, the overall energy footprint of machining Ti-6Al-4V using various cooling/lubrication methods is investigated taking the embodied energy of cutting tools and cutting fluids into account. Previous studies concentrated on reducing the energy consumption associated with the machine tool and cutting fluids. However, the investigations in this study show the significance of the embodied energy of cutting tool. New cooling/lubrication methods such as WS 2 -oil suspension can reduce the energy footprint of machining through extending tool life. Cutting tools are commonly replaced early before reaching their end of useful life to prevent damage to the workpiece, effectively wasting a portion of the embodied energy in cutting tools. A deep learning method is trained and validated to identify when a tool change is required based on sensor signals from a wireless sensory toolholder. The results indicated that the network is capable of classifying over 90% of the tools correctly. This enables capitalising on the entirety of a tool’s useful life before replacing the tool and thus reducing the overall energy footprint of machining processes
{"title":"Towards Sustainable and Intelligent Machining: Energy Footprint and Tool Condition Monitoring for Media-Assisted Processes","authors":"H. Dogan, Llyr Jones, S. Hall, A. Shokrani","doi":"10.36897/jme/166463","DOIUrl":"https://doi.org/10.36897/jme/166463","url":null,"abstract":"Reducing energy consumption is a necessity towards achieving the goal of net-zero manufacturing. In this paper, the overall energy footprint of machining Ti-6Al-4V using various cooling/lubrication methods is investigated taking the embodied energy of cutting tools and cutting fluids into account. Previous studies concentrated on reducing the energy consumption associated with the machine tool and cutting fluids. However, the investigations in this study show the significance of the embodied energy of cutting tool. New cooling/lubrication methods such as WS 2 -oil suspension can reduce the energy footprint of machining through extending tool life. Cutting tools are commonly replaced early before reaching their end of useful life to prevent damage to the workpiece, effectively wasting a portion of the embodied energy in cutting tools. A deep learning method is trained and validated to identify when a tool change is required based on sensor signals from a wireless sensory toolholder. The results indicated that the network is capable of classifying over 90% of the tools correctly. This enables capitalising on the entirety of a tool’s useful life before replacing the tool and thus reducing the overall energy footprint of machining processes","PeriodicalId":37821,"journal":{"name":"Journal of Machine Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69778368","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}
S. Krall, Markus Prießnitz, C. Baumann, Peter Brandt, F. Bleicher
Drilling of rivet holes in stacked materials consisting of CFRP and Ti-6Al-4V still represents unique challenges. It is common practice to drill the material layers using one single tool. When exiting the final metallic layer, formation of a drill cap usually leads to undesirable burrs and debris, requiring manual post-processing. In this work, a drilling process to avoid drill caps is presented. This is realized using low frequency high amplitude vibration assisted drilling with defined coupling of the rotational speed and the axial oscillations. Drilling parameters and their impact on the quality of the drilled hole in the metallic layer are also investigated. It is found that drill tip geometries and process parameters need to be tuned together to achieve a stable and repeatable process for drill cap avoidance. A highly sensorized experimental setup with multi-sensor systems including high-speed and thermal imaging was used for process evaluation.
{"title":"Avoidance of Drill Cap Formation in CFRP-Titanium Stack Materials by Using Vibration Assisted Drilling with Defined Coupling of the Oscillation","authors":"S. Krall, Markus Prießnitz, C. Baumann, Peter Brandt, F. Bleicher","doi":"10.36897/jme/166274","DOIUrl":"https://doi.org/10.36897/jme/166274","url":null,"abstract":"Drilling of rivet holes in stacked materials consisting of CFRP and Ti-6Al-4V still represents unique challenges. It is common practice to drill the material layers using one single tool. When exiting the final metallic layer, formation of a drill cap usually leads to undesirable burrs and debris, requiring manual post-processing. In this work, a drilling process to avoid drill caps is presented. This is realized using low frequency high amplitude vibration assisted drilling with defined coupling of the rotational speed and the axial oscillations. Drilling parameters and their impact on the quality of the drilled hole in the metallic layer are also investigated. It is found that drill tip geometries and process parameters need to be tuned together to achieve a stable and repeatable process for drill cap avoidance. A highly sensorized experimental setup with multi-sensor systems including high-speed and thermal imaging was used for process evaluation.","PeriodicalId":37821,"journal":{"name":"Journal of Machine Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44078689","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}
Abrasive Water Injector Jet Cutting (AWIJC) is a flexible machining process for manufacturing high-performance materials, such as titan- and nickel-base-alloys. Due to the low ductility and thermal conductivity of these materials, conventional machining is struggling with high tool costs and wear. The tool wear in AWIJC is independent of the machined material, and the process has the potential to provide a cost-efficient solution in machining high-performance materials. Trimming, a near-net-shape pre-contouring with multi-stage AWIJC, requires a detailed knowledge of cutting paths for all steps in advance. In order to enable a geometrical flexible manufacturing process, an automatically cutting path generation is necessary. This article presents an application developed with NX Open using Visual Basic. The application TrimCAD is able to provide all necessary geometries for trimming based on the geometries of initial and finished parts. Furthermore, it is possible to adjust the number of cuts and the degree of pre-contouring. All geometries are automatically exported as a standardized three-dimensional STEP-file. The STEP-geometries can be processed to the CAM-processor of the waterjet machine. TrimCAD is an innovative possibility to machine three-dimensional parts made of high-performance materials.
{"title":"Enabling of Automatically Generation of Cutting Paths for Three-Dimensional Pre-Contouring with Waterjet Trimming","authors":"Waldemar Reder, E. Uhlmann","doi":"10.36897/jme/166095","DOIUrl":"https://doi.org/10.36897/jme/166095","url":null,"abstract":"Abrasive Water Injector Jet Cutting (AWIJC) is a flexible machining process for manufacturing high-performance materials, such as titan- and nickel-base-alloys. Due to the low ductility and thermal conductivity of these materials, conventional machining is struggling with high tool costs and wear. The tool wear in AWIJC is independent of the machined material, and the process has the potential to provide a cost-efficient solution in machining high-performance materials. Trimming, a near-net-shape pre-contouring with multi-stage AWIJC, requires a detailed knowledge of cutting paths for all steps in advance. In order to enable a geometrical flexible manufacturing process, an automatically cutting path generation is necessary. This article presents an application developed with NX Open using Visual Basic. The application TrimCAD is able to provide all necessary geometries for trimming based on the geometries of initial and finished parts. Furthermore, it is possible to adjust the number of cuts and the degree of pre-contouring. All geometries are automatically exported as a standardized three-dimensional STEP-file. The STEP-geometries can be processed to the CAM-processor of the waterjet machine. TrimCAD is an innovative possibility to machine three-dimensional parts made of high-performance materials.","PeriodicalId":37821,"journal":{"name":"Journal of Machine Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44230030","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}
In this research, the weld track geometry in wire-arc DED (directed energy deposition) of ER308L stainless steel was predicted and optimized. The studied geometrical attributes of weld tracks include weld track width ( WTW ), weld track height ( WTH ), and contact angle ( α ). The experiment was designed based on Taguchi method with three variables (current I , voltage U , and weld velocity v ) and four levels for each variable. The ANOVA was adopted to evaluate the accuracy of the models and impact levels of variables on the responses. The TOPSIS method was utilized to predict the optimal variables. The results indicated that the predicted models were built with high accuracy levels ( R 2 = 98.92%, 98.77%, and 98.91% for WTW , WTH , and α , respectively). Among the studied variables, U features the highest effects on WTW and with 78.56% and 69.90% of contribution, respectively, while v is the variable that has the most impact on WTH with 39.82% of contribution. The optimal variables predicted by TOPSIS were U = 23 V, I = 140 A, and v = 300 mm/min, which allows building components with stable and regular geometry.
{"title":"Multi-Objective Optimization for Weld Track Geometry in Wire-Arc Directed Energy Deposition of ER308L Stainless Steel","authors":"V. C. Nguyen, V. Le, N. Pham, Anh-Thang Nguyen","doi":"10.36897/jme/166134","DOIUrl":"https://doi.org/10.36897/jme/166134","url":null,"abstract":"In this research, the weld track geometry in wire-arc DED (directed energy deposition) of ER308L stainless steel was predicted and optimized. The studied geometrical attributes of weld tracks include weld track width ( WTW ), weld track height ( WTH ), and contact angle ( α ). The experiment was designed based on Taguchi method with three variables (current I , voltage U , and weld velocity v ) and four levels for each variable. The ANOVA was adopted to evaluate the accuracy of the models and impact levels of variables on the responses. The TOPSIS method was utilized to predict the optimal variables. The results indicated that the predicted models were built with high accuracy levels ( R 2 = 98.92%, 98.77%, and 98.91% for WTW , WTH , and α , respectively). Among the studied variables, U features the highest effects on WTW and with 78.56% and 69.90% of contribution, respectively, while v is the variable that has the most impact on WTH with 39.82% of contribution. The optimal variables predicted by TOPSIS were U = 23 V, I = 140 A, and v = 300 mm/min, which allows building components with stable and regular geometry.","PeriodicalId":37821,"journal":{"name":"Journal of Machine Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47229892","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 amount of electrode wear in micro-EDM has a direct effect on the dimensional accuracy of the machined hole. Therefore, improving the corrosion resistance of electrodes in micro-EDM is still of great interest. The effective coating of thin film for the micro tool electrodes in the case of micro-EDM can lead to minimize the electrode wear which eventually improve the productivity and machining quality. In the present study, experiments were performed on micro-EDM using carbon coated tool electrode and optimized using Taguchi-Topsis to investigate optimum levels of Depth of cut ( Z ) and overcut ( OVC ). It was concluded that optimum conditions had improved significantly using carbon coated micro tool electrode. Optimal levels of technological parameters include V = 160 V, C = 10000 pF, RPM = 600 rpm, and Z opt = 2.525 mm, OVC opt = 65.257 m. The quality of the machined surface with the coated electrode at optimal conditions is analysed and evaluated. The Topsis method is a suitable solution to this problem, and the steps to perform the calculation in this technique are simple.
{"title":"The Optimization of Micro-Edm Machining Process when Using Carbon Coated Micro Electrode as a Tool","authors":"Bich Mac, S. Shirguppikar, V. Ganachari","doi":"10.36897/jme/165929","DOIUrl":"https://doi.org/10.36897/jme/165929","url":null,"abstract":"The amount of electrode wear in micro-EDM has a direct effect on the dimensional accuracy of the machined hole. Therefore, improving the corrosion resistance of electrodes in micro-EDM is still of great interest. The effective coating of thin film for the micro tool electrodes in the case of micro-EDM can lead to minimize the electrode wear which eventually improve the productivity and machining quality. In the present study, experiments were performed on micro-EDM using carbon coated tool electrode and optimized using Taguchi-Topsis to investigate optimum levels of Depth of cut ( Z ) and overcut ( OVC ). It was concluded that optimum conditions had improved significantly using carbon coated micro tool electrode. Optimal levels of technological parameters include V = 160 V, C = 10000 pF, RPM = 600 rpm, and Z opt = 2.525 mm, OVC opt = 65.257 m. The quality of the machined surface with the coated electrode at optimal conditions is analysed and evaluated. The Topsis method is a suitable solution to this problem, and the steps to perform the calculation in this technique are simple.","PeriodicalId":37821,"journal":{"name":"Journal of Machine Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47032067","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}
S. Ihlenfeldt, Marcel Lorenz, U. Frieß, Rayk Fritzsche
European industry and beyond, faces the challenge of becoming carbon neutral within an unprecedented short timeframe. An important approach to achieve this goal is the transformation of the current economy to a circular economy. In this context, the reuse of technical products as well as their recycling are in the foreground. Flexibility and adaptability are crucial for the competitiveness of companies. Therefore, adaptive and autonomous assembly and disassembly systems are the key. Classically automated assembly systems are inflexible due to a mostly rigid and predefined sequence control and are mostly strongly oriented towards economic criteria. Existing autonomous production cells, with their focus on autonomy and failure-free operation, also reach their limits in terms of adaptivity. For this reason, intelligent systems are needed that are able to act autonomously and without interference, as well as to cope with complex and cognitively demanding situations and tasks.
{"title":"Autonomous Assembly and Disassembly - Key Technologies and Links for the Adaptive Self-Optimization of Future Circular Production","authors":"S. Ihlenfeldt, Marcel Lorenz, U. Frieß, Rayk Fritzsche","doi":"10.36897/jme/163522","DOIUrl":"https://doi.org/10.36897/jme/163522","url":null,"abstract":"European industry and beyond, faces the challenge of becoming carbon neutral within an unprecedented short timeframe. An important approach to achieve this goal is the transformation of the current economy to a circular economy. In this context, the reuse of technical products as well as their recycling are in the foreground. Flexibility and adaptability are crucial for the competitiveness of companies. Therefore, adaptive and autonomous assembly and disassembly systems are the key. Classically automated assembly systems are inflexible due to a mostly rigid and predefined sequence control and are mostly strongly oriented towards economic criteria. Existing autonomous production cells, with their focus on autonomy and failure-free operation, also reach their limits in terms of adaptivity. For this reason, intelligent systems are needed that are able to act autonomously and without interference, as well as to cope with complex and cognitively demanding situations and tasks.","PeriodicalId":37821,"journal":{"name":"Journal of Machine Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42415098","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 paper presents an approach to video-based assembly analysis using machine learning. A neural network is one of the machine learning methods that is widely studied in many engineering fields. The purpose of this paper is to develop a deep neural network structure for identifying begin-end points for a selected component assembly process. A neural network structure that effectively identifies begin-end points is proposed and an example from industry is presented. The proposed approach can prove useful in the assembly process analysis.
{"title":"Development of a neural network structure for identifying begin-end points in the assembly process","authors":"I. Kutschenreiter-Praszkiewicz","doi":"10.36897/jme/163318","DOIUrl":"https://doi.org/10.36897/jme/163318","url":null,"abstract":"The paper presents an approach to video-based assembly analysis using machine learning. A neural network is one of the machine learning methods that is widely studied in many engineering fields. The purpose of this paper is to develop a deep neural network structure for identifying begin-end points for a selected component assembly process. A neural network structure that effectively identifies begin-end points is proposed and an example from industry is presented. The proposed approach can prove useful in the assembly process analysis.","PeriodicalId":37821,"journal":{"name":"Journal of Machine Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42579584","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}
Muhammad Rizal, Jaharah A. Ghani, H. Usman, M. Dirhamsyah, Amir Zaki Mubarak
This paper’s objective is to design and optimize a force transducer to build a stationary dynamometer that can measure three axes of milling cutting force. To reduce interference error and increase sensitivity, the force transducer's Maltese cross-beam design was optimized. The force transducer's performance depends on three design parameters: the cross-rectangular beam's through-hole length and width, the compliant plate thickness, and the strain, stress, and stiffness of force transducer constructions calculated by ANSYS. The response surface method (RSM) estimates a desired second-order polynomial function for three geometric parameters based on sensitivity, interference error, safety factor, and stiffness. A stationary dynamometer prototype was made with four optimized force transducers and several piezoresistive strain sensors. The developed dynamometer has good linearity, repeatability, and hysteresis, as well as high sensitivities and low cross-sensitivity errors. The reference dynamometer's cutting force measurements were very close to those of the designed dynamometer in the validation test.
{"title":"Design and Optimization of a Cross-Beam Force Transducer for a Stationary Dynamometer for Measuring Milling Cutting Force","authors":"Muhammad Rizal, Jaharah A. Ghani, H. Usman, M. Dirhamsyah, Amir Zaki Mubarak","doi":"10.36897/jme/162514","DOIUrl":"https://doi.org/10.36897/jme/162514","url":null,"abstract":"This paper’s objective is to design and optimize a force transducer to build a stationary dynamometer that can measure three axes of milling cutting force. To reduce interference error and increase sensitivity, the force transducer's Maltese cross-beam design was optimized. The force transducer's performance depends on three design parameters: the cross-rectangular beam's through-hole length and width, the compliant plate thickness, and the strain, stress, and stiffness of force transducer constructions calculated by ANSYS. The response surface method (RSM) estimates a desired second-order polynomial function for three geometric parameters based on sensitivity, interference error, safety factor, and stiffness. A stationary dynamometer prototype was made with four optimized force transducers and several piezoresistive strain sensors. The developed dynamometer has good linearity, repeatability, and hysteresis, as well as high sensitivities and low cross-sensitivity errors. The reference dynamometer's cutting force measurements were very close to those of the designed dynamometer in the validation test.","PeriodicalId":37821,"journal":{"name":"Journal of Machine Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46262328","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}
This comprehensive survey highlights some important finishing processes used in fabricating additively manufactured parts, mainly using SLM (Selective Laser Melting). In practice, there are applied hybrid processes which integrate additive and subtractive componential processes (AM+SM type) or additional finishing processes, mainly based on the electrochemical polishing such as ECP (Electrochemical Cavitation Polishing) and PEMEC (Electrochemical-Mechanical Polishing) ones. On the other hand, AFM (Abrasive Flow Machining) is predomi-nantly recommended for conformal cooling (CC) channels. Some conclusions and future trends in the implemen-tation of special hybrid finishing processes are outlined.
{"title":"New Trends in Hybrid Finishing Processes of Metallic Additively Fabricated Parts – a Short Review","authors":"J. Rech, W. Grzesik","doi":"10.36897/jme/162284","DOIUrl":"https://doi.org/10.36897/jme/162284","url":null,"abstract":"This comprehensive survey highlights some important finishing processes used in fabricating additively manufactured parts, mainly using SLM (Selective Laser Melting). In practice, there are applied hybrid processes which integrate additive and subtractive componential processes (AM+SM type) or additional finishing processes, mainly based on the electrochemical polishing such as ECP (Electrochemical Cavitation Polishing) and PEMEC (Electrochemical-Mechanical Polishing) ones. On the other hand, AFM (Abrasive Flow Machining) is predomi-nantly recommended for conformal cooling (CC) channels. Some conclusions and future trends in the implemen-tation of special hybrid finishing processes are outlined.","PeriodicalId":37821,"journal":{"name":"Journal of Machine Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42440866","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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