Pub Date : 2017-04-17DOI: 10.1504/IJMR.2017.10003723
A. Trappey, C. Trappey, Tong-Mei Wang, Mark Y. L. Tang
Additive manufacturing (AM) technologies have been developed and applied to many domains where product mass-customisation is critical to maintaining competitive advantage. For instance, AM has been adopted for use in the medical and dental manufacture of implants, prosthetics and orthodontics, where these devices must be made to match each patient's unique facial, dental or other body profiles. The research presented focuses on the technological and functional aspects of patent informatics to discover the innovation trends for materials, products, and processes. The research proposes a generic methodology incorporating patent text and data mining to create an ontology based technology function (TF) matrix for any technology domain. The TF matrix is applied to describe the distribution of global dental AM patents. The research compares the latest dental-related AM research initiatives in Taiwan with globally emerging patents. The patent based analytical approach enables RD Revised 22 October 2016; Accepted 8 November 2016]
{"title":"Ontology-based technology function matrix for patent analysis of additive manufacturing in the dental industry","authors":"A. Trappey, C. Trappey, Tong-Mei Wang, Mark Y. L. Tang","doi":"10.1504/IJMR.2017.10003723","DOIUrl":"https://doi.org/10.1504/IJMR.2017.10003723","url":null,"abstract":"Additive manufacturing (AM) technologies have been developed and applied to many domains where product mass-customisation is critical to maintaining competitive advantage. For instance, AM has been adopted for use in the medical and dental manufacture of implants, prosthetics and orthodontics, where these devices must be made to match each patient's unique facial, dental or other body profiles. The research presented focuses on the technological and functional aspects of patent informatics to discover the innovation trends for materials, products, and processes. The research proposes a generic methodology incorporating patent text and data mining to create an ontology based technology function (TF) matrix for any technology domain. The TF matrix is applied to describe the distribution of global dental AM patents. The research compares the latest dental-related AM research initiatives in Taiwan with globally emerging patents. The patent based analytical approach enables RD Revised 22 October 2016; Accepted 8 November 2016]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"148 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128798326","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}
Pub Date : 2016-09-30DOI: 10.1504/IJMR.2016.079468
C. Yeh, Yu-Tang Lee, Wen-Chin Liu
Most small and medium-sized enterprises (SME) own less-resources to invest on highly computerised production control system, the productivity can be improved by conserved and effective tool of dynamic production control when dealing with fluctuation business demands of globalisation is essential. This study is based on the principle of advanced planning and scheduling (APS) which is adopted eM-plant with Excel to simulate dynamic production control system that can meet the requirement of APS for SME. The virtual plant is exercised by simulation of eM-plant as to compare with the precedent production control system for the plastic blow-moulding machine plant on their restricted delivery requirement. Obviously, the refine dynamic production system concludes the KPIs are benefited from refine system which shorten order responding time to 15 minutes, shrink the duration of arranging order schedule from one day manually to 20 minutes, and escalate the rate of delivery on time to 80% from 45% previously. [Received 28 September 2015; Revised 24 June 2016; Accepted 1 July 2016]
{"title":"Dynamic production control system for SME: implementation on plastic blow-moulding machine","authors":"C. Yeh, Yu-Tang Lee, Wen-Chin Liu","doi":"10.1504/IJMR.2016.079468","DOIUrl":"https://doi.org/10.1504/IJMR.2016.079468","url":null,"abstract":"Most small and medium-sized enterprises (SME) own less-resources to invest on highly computerised production control system, the productivity can be improved by conserved and effective tool of dynamic production control when dealing with fluctuation business demands of globalisation is essential. This study is based on the principle of advanced planning and scheduling (APS) which is adopted eM-plant with Excel to simulate dynamic production control system that can meet the requirement of APS for SME. The virtual plant is exercised by simulation of eM-plant as to compare with the precedent production control system for the plastic blow-moulding machine plant on their restricted delivery requirement. Obviously, the refine dynamic production system concludes the KPIs are benefited from refine system which shorten order responding time to 15 minutes, shrink the duration of arranging order schedule from one day manually to 20 minutes, and escalate the rate of delivery on time to 80% from 45% previously. [Received 28 September 2015; Revised 24 June 2016; Accepted 1 July 2016]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122045129","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}
Pub Date : 2016-09-30DOI: 10.1504/IJMR.2016.079473
Mithun Haridas, G. Gopal, A. Ramesh, R. Katta
Flow forming is an incremental forming process used for making long, thin-walled seamless tubes with high strength and dimensional accuracy. This is carried out by compressing the pre-formed tube using one or more rollers, leading to the plastic flow of material in the radial, axial, and tangential directions. This ultimately results in reduction in thickness and elongation of the tube. In order to achieve the required accuracy and to reduce the shop floor costs, a better understanding of the influence of process parameters on part geometry, deformation mechanism, and stress-strain patterns will be required. This paper describes the development of a detailed finite element model, using Abaqus/Explicit, to accurately simulate the flow forming process for AISI-1045 MC-Steel, and attempts to predict the influence of process parameters like axial stagger, feed ratio, and percentage reduction, on output parameters like ovality, diametral growth, and spring back. The effect of multi-pass on surface finish is also investigated. [Received 26 August 2015; Revised 1 July 2016; Accepted 12 July 2016]
{"title":"Modelling and simulation of single and multi-pass flow forming to investigate the influence of process parameters on part accuracy","authors":"Mithun Haridas, G. Gopal, A. Ramesh, R. Katta","doi":"10.1504/IJMR.2016.079473","DOIUrl":"https://doi.org/10.1504/IJMR.2016.079473","url":null,"abstract":"Flow forming is an incremental forming process used for making long, thin-walled seamless tubes with high strength and dimensional accuracy. This is carried out by compressing the pre-formed tube using one or more rollers, leading to the plastic flow of material in the radial, axial, and tangential directions. This ultimately results in reduction in thickness and elongation of the tube. In order to achieve the required accuracy and to reduce the shop floor costs, a better understanding of the influence of process parameters on part geometry, deformation mechanism, and stress-strain patterns will be required. This paper describes the development of a detailed finite element model, using Abaqus/Explicit, to accurately simulate the flow forming process for AISI-1045 MC-Steel, and attempts to predict the influence of process parameters like axial stagger, feed ratio, and percentage reduction, on output parameters like ovality, diametral growth, and spring back. The effect of multi-pass on surface finish is also investigated. [Received 26 August 2015; Revised 1 July 2016; Accepted 12 July 2016]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121198395","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}
Pub Date : 2016-09-30DOI: 10.1504/IJMR.2016.079461
H. Kumar, P. Pai, N. Sriram, G. Vijay, M. Patil
This paper presents the evaluation of five wavelets-based denoising schemes in order to select the best possible scheme for denoising bearing vibration signals and dimensionality reduction techniques using artificial neural network (ANN). Vibration signals from four conditions of rolling element bearing (REB) namely normal (N), defect on inner race (IR), defect on ball (B) and defect on outer race (OR) have been denoised using interval-dependent denoising scheme, which is the best possible scheme. The denoised signal is subjected to discrete wavelet transform (DWT) to extract 17 statistical features. Principal component analysis (PCA)-based dimensionality reduction technique (DRT) namely PCA alone, Kernel-PCA (KPCA) alone, PCA using SVD and KPCA using SVD have been used for reducing the dimension of the features. It is found that KPCA using SVD resulted in highest prediction accuracy using ANN, making it suitable for effective REB fault diagnosis. [Received 30 November 2015; Revised 17 June 2016; Accepted 20 June 2016]
{"title":"Comparison of denoising schemes and dimensionality reduction techniques for fault diagnosis of rolling element bearing using wavelet transform","authors":"H. Kumar, P. Pai, N. Sriram, G. Vijay, M. Patil","doi":"10.1504/IJMR.2016.079461","DOIUrl":"https://doi.org/10.1504/IJMR.2016.079461","url":null,"abstract":"This paper presents the evaluation of five wavelets-based denoising schemes in order to select the best possible scheme for denoising bearing vibration signals and dimensionality reduction techniques using artificial neural network (ANN). Vibration signals from four conditions of rolling element bearing (REB) namely normal (N), defect on inner race (IR), defect on ball (B) and defect on outer race (OR) have been denoised using interval-dependent denoising scheme, which is the best possible scheme. The denoised signal is subjected to discrete wavelet transform (DWT) to extract 17 statistical features. Principal component analysis (PCA)-based dimensionality reduction technique (DRT) namely PCA alone, Kernel-PCA (KPCA) alone, PCA using SVD and KPCA using SVD have been used for reducing the dimension of the features. It is found that KPCA using SVD resulted in highest prediction accuracy using ANN, making it suitable for effective REB fault diagnosis. [Received 30 November 2015; Revised 17 June 2016; Accepted 20 June 2016]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131748476","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}
Pub Date : 2016-09-30DOI: 10.1504/IJMR.2016.079459
Dianwu Zhou, Ningning Li, Shaohua Xu, Jinshui Liu
Laser weld bonding of DP590 dual phase steel to 6,016 aluminium alloy is studied in steel-on-aluminium overlap configuration. Microstructure, hardness distribution and mechanical properties of the welding joint are analysed. Results reveal that some defects, such as pores, cracks and softening in heat affected zone (HAZ), can be avoided in welding joints, and welding penetration depth and width increase compared with those of laser welding. The thermal conduction rate mounts up and the cooling rate of the welding joint ascends, laser energy is more absorbed by the lower aluminium alloy, which leads to Al element diffusion suppressed from the lower to the upper, and the Al content increasing in both sides of the weld in the molten state. The transverse area has increased in jointing steel to aluminium, and the shear load are shared by the adhesive and the weld, hence the mechanical properties of welding joint are significantly improved. [Received 4 November 2015; Revised 14 June 2016; Accepted 18 June 2016]
{"title":"Research on laser weld bonding of duel phase steel to aluminium alloy","authors":"Dianwu Zhou, Ningning Li, Shaohua Xu, Jinshui Liu","doi":"10.1504/IJMR.2016.079459","DOIUrl":"https://doi.org/10.1504/IJMR.2016.079459","url":null,"abstract":"Laser weld bonding of DP590 dual phase steel to 6,016 aluminium alloy is studied in steel-on-aluminium overlap configuration. Microstructure, hardness distribution and mechanical properties of the welding joint are analysed. Results reveal that some defects, such as pores, cracks and softening in heat affected zone (HAZ), can be avoided in welding joints, and welding penetration depth and width increase compared with those of laser welding. The thermal conduction rate mounts up and the cooling rate of the welding joint ascends, laser energy is more absorbed by the lower aluminium alloy, which leads to Al element diffusion suppressed from the lower to the upper, and the Al content increasing in both sides of the weld in the molten state. The transverse area has increased in jointing steel to aluminium, and the shear load are shared by the adhesive and the weld, hence the mechanical properties of welding joint are significantly improved. [Received 4 November 2015; Revised 14 June 2016; Accepted 18 June 2016]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"311 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123149280","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}
Pub Date : 2016-09-30DOI: 10.1504/IJMR.2016.079460
D. Babu, S. Kiran, P. Vundavilli, A. Mandal
Wire electrical discharge machining (WEDM) is a non-traditional machining process, which is used for machining of difficult to machine materials, like composites and inter metallic materials. In the present paper, an attempt is made to machine hypereutectic Al-Si alloys using WEDM as these materials are widely used in automotive, aerospace and electronic fields because of its attractive properties. In the study, the WEDM machining parameters, such as pulse on time, pulse off time, wire feed rate and variation of percentage of silicon are taken as controlling factors for experimentation. In the present manuscript, an attempt is made to study the influence of percentage of silicon in the alloy system on the performance measures, such as material removal rate (MRR) and surface roughness (SR) of machining. Further, the influence of various input process parameters on the responses has also been studied. In order to optimise the said performance characteristics, two multi-objective optimisation methodologies namely grey relational analysis (GRA) and principal component analysis (PCA) are implemented. It has been observed that principal component analysis is found to perform better than grey relational analysis. [Received 9 October 2015; Revised 26 May 2016; Accepted 21 June 2016]
{"title":"Experimental investigations and multi-response optimisation of wire electric discharge machining of hypereutectic Al-Si alloys","authors":"D. Babu, S. Kiran, P. Vundavilli, A. Mandal","doi":"10.1504/IJMR.2016.079460","DOIUrl":"https://doi.org/10.1504/IJMR.2016.079460","url":null,"abstract":"Wire electrical discharge machining (WEDM) is a non-traditional machining process, which is used for machining of difficult to machine materials, like composites and inter metallic materials. In the present paper, an attempt is made to machine hypereutectic Al-Si alloys using WEDM as these materials are widely used in automotive, aerospace and electronic fields because of its attractive properties. In the study, the WEDM machining parameters, such as pulse on time, pulse off time, wire feed rate and variation of percentage of silicon are taken as controlling factors for experimentation. In the present manuscript, an attempt is made to study the influence of percentage of silicon in the alloy system on the performance measures, such as material removal rate (MRR) and surface roughness (SR) of machining. Further, the influence of various input process parameters on the responses has also been studied. In order to optimise the said performance characteristics, two multi-objective optimisation methodologies namely grey relational analysis (GRA) and principal component analysis (PCA) are implemented. It has been observed that principal component analysis is found to perform better than grey relational analysis. [Received 9 October 2015; Revised 26 May 2016; Accepted 21 June 2016]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122757032","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}
Pub Date : 2016-08-10DOI: 10.1504/IJMR.2016.078253
K. Ojha, R. K. Garg, B. Chowdary
In this research article, an investigation of surface roughness (SR) of work surfaces produced by the powder mixed electrical discharge machining of EN-8 steel has been carried out. Response surface methodology has been used to plan and analyse the experiments. Average current, duty cycle, electrode angle and concentration of chromium powder added into the dielectric fluid were selected as process parameters. Experiments have been performed on a newly designed experimental set-up developed in the laboratory. An empirical model has been developed for surface roughness. In addition, the recommended model has been verified by conducting confirmation experiments. [Received 14 May 2015; Revised 14 April 2016; Accepted 8 June 2016]
{"title":"An investigation into surface roughness of work piece produced by chromium powder suspended dielectric in PMEDM process","authors":"K. Ojha, R. K. Garg, B. Chowdary","doi":"10.1504/IJMR.2016.078253","DOIUrl":"https://doi.org/10.1504/IJMR.2016.078253","url":null,"abstract":"In this research article, an investigation of surface roughness (SR) of work surfaces produced by the powder mixed electrical discharge machining of EN-8 steel has been carried out. Response surface methodology has been used to plan and analyse the experiments. Average current, duty cycle, electrode angle and concentration of chromium powder added into the dielectric fluid were selected as process parameters. Experiments have been performed on a newly designed experimental set-up developed in the laboratory. An empirical model has been developed for surface roughness. In addition, the recommended model has been verified by conducting confirmation experiments. [Received 14 May 2015; Revised 14 April 2016; Accepted 8 June 2016]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117253618","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}
Pub Date : 2016-08-10DOI: 10.1504/IJMR.2016.078245
Ben Buckholtz, Ihab Ragai, Lihui Wang
With the growing development of cloud manufacturing (CM) applications in industry, one concern potential users have is security of the data, remote machines and operators. Potential security risks in communication with remotely operated manufacturing equipment have been of recent interest. The purpose of this paper is to provide an overview of security measures being considered to ensure the protection of data being sent to physical machines in a CM system. Topics covered include: internet of things, remote equipment control, security concerns in remote equipment control, existing proposed security measures for remote equipment control, and the future outlook of remote equipment control and security in CM systems. [Received 20 December 2015; Revised 12 May 16; Accepted 12 May 2016]
{"title":"Remote equipment security in cloud manufacturing systems","authors":"Ben Buckholtz, Ihab Ragai, Lihui Wang","doi":"10.1504/IJMR.2016.078245","DOIUrl":"https://doi.org/10.1504/IJMR.2016.078245","url":null,"abstract":"With the growing development of cloud manufacturing (CM) applications in industry, one concern potential users have is security of the data, remote machines and operators. Potential security risks in communication with remotely operated manufacturing equipment have been of recent interest. The purpose of this paper is to provide an overview of security measures being considered to ensure the protection of data being sent to physical machines in a CM system. Topics covered include: internet of things, remote equipment control, security concerns in remote equipment control, existing proposed security measures for remote equipment control, and the future outlook of remote equipment control and security in CM systems. [Received 20 December 2015; Revised 12 May 16; Accepted 12 May 2016]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134014475","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}
Pub Date : 2016-08-10DOI: 10.1504/IJMR.2016.078243
S. Acharya, J. Vadher, Manojkumar V. Sheladiya, Mahesh Madhnani
Solidification of metals stands as marvel of ultimate significance for metallurgists, casting engineers and physicist which hampers the quality of castings, material yield and cycle time. Method of solidifying in casting is intricate in natural surroundings hence the process replication is mandatory in business before it is actually enforced. Volumetric contraction allied with solidifying of liquefied metal causes defects viz: shrinkage porosity, sink and cavity. Casting defects are decreased through casting simulation software and an intellectual feeding technique. Generally, gating system controls the velocity of molten metal that affects turbulence and flowability of casting. In this research, a challenge is taken to remodel a gating system by design of experiments (DoE) and casting solidification simulation framework ('e-foundry' - a web resource with casting simulation facility) and validation of results based on experiments performed in Krislur Castomech Pvt. Ltd, Bhavnagar, Gujarat, India for minimum shrinkage porosity defect in casting. [Received 29 October 2015; Revised 29 April 2016; Accepted 12 May 2016[
{"title":"Quality casting of motor body using design of experiment and casting simulation","authors":"S. Acharya, J. Vadher, Manojkumar V. Sheladiya, Mahesh Madhnani","doi":"10.1504/IJMR.2016.078243","DOIUrl":"https://doi.org/10.1504/IJMR.2016.078243","url":null,"abstract":"Solidification of metals stands as marvel of ultimate significance for metallurgists, casting engineers and physicist which hampers the quality of castings, material yield and cycle time. Method of solidifying in casting is intricate in natural surroundings hence the process replication is mandatory in business before it is actually enforced. Volumetric contraction allied with solidifying of liquefied metal causes defects viz: shrinkage porosity, sink and cavity. Casting defects are decreased through casting simulation software and an intellectual feeding technique. Generally, gating system controls the velocity of molten metal that affects turbulence and flowability of casting. In this research, a challenge is taken to remodel a gating system by design of experiments (DoE) and casting solidification simulation framework ('e-foundry' - a web resource with casting simulation facility) and validation of results based on experiments performed in Krislur Castomech Pvt. Ltd, Bhavnagar, Gujarat, India for minimum shrinkage porosity defect in casting. [Received 29 October 2015; Revised 29 April 2016; Accepted 12 May 2016[","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124010685","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}
Pub Date : 2016-08-10DOI: 10.1504/IJMR.2016.078251
Keliang Zhou, Taigang Liu, Ling Liang
Recently, 'Industry 4.0' has become the supporting force in the manufacturing field. From CPS to Industry 4.0, they are leading a new round of industrial revolution. To meet the fourth industrial revolution, USA, European countries, Japan, South Korea and China have presented different versions of the so-called 'Industry 4.0' strategies respectively, which are different from each other in the content, but their common goal is to achieve manufacturing structural adjustment and restructuring and upgrading, to seize a place for future manufacturing, to provide users with better service. What is more, we summarised the five major trends of the future manufacturing. Then, we introduce some enabling technologies about Industry 4.0, among them, CPS plays a key role in the Industry 4.0 factory. Based on the customer to business (C2B) mode, we regard everything as a service, and propose a structure of Industry 4.0. Finally, the automotive industry as an example, we make a brief introduction about an Industry 4.0 case. [Received 15 December 2015; Revised 30 May 2016; Accepted 30 May 2016]
{"title":"From cyber-physical systems to Industry 4.0: make future manufacturing become possible","authors":"Keliang Zhou, Taigang Liu, Ling Liang","doi":"10.1504/IJMR.2016.078251","DOIUrl":"https://doi.org/10.1504/IJMR.2016.078251","url":null,"abstract":"Recently, 'Industry 4.0' has become the supporting force in the manufacturing field. From CPS to Industry 4.0, they are leading a new round of industrial revolution. To meet the fourth industrial revolution, USA, European countries, Japan, South Korea and China have presented different versions of the so-called 'Industry 4.0' strategies respectively, which are different from each other in the content, but their common goal is to achieve manufacturing structural adjustment and restructuring and upgrading, to seize a place for future manufacturing, to provide users with better service. What is more, we summarised the five major trends of the future manufacturing. Then, we introduce some enabling technologies about Industry 4.0, among them, CPS plays a key role in the Industry 4.0 factory. Based on the customer to business (C2B) mode, we regard everything as a service, and propose a structure of Industry 4.0. Finally, the automotive industry as an example, we make a brief introduction about an Industry 4.0 case. [Received 15 December 2015; Revised 30 May 2016; Accepted 30 May 2016]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114421218","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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