Developing of a manufacturing cycle architecture for fused deposition modeling technique

Abstract 3D printing (3DP) and data analytics are emerging technologies of today's manufacturing enterprises and have a great attraction in their development. A great amount of real-time data of product manufacturing cycle (PMC) is generated which needs to be properly stored and evaluated. In the present study, an architecture of data analytics for product manufacturing cycle of fused deposition modeling (FDM) technique of 3D printing was proposed. By using this architecture, data accessibility and 3DP product related knowledge had been realized. Concentrating on FDM method of the PMC, the main technologies were established to implement the data analytics. A case study was presented for architecture verification and discussed in details. It is concluded that the projected architecture helped manufacturers and customers, and also beneficial for improvement of product quality with the enhancement in productivity.

[1]  F. Azarmi,et al.  3D printed biocompatible polylactide-hydroxyapatite based material for bone implants , 2018 .

[2]  Yingfeng Zhang,et al.  A framework for Big Data driven product lifecycle management , 2017 .

[3]  Dimitris Kiritsis,et al.  A framework for RFID applications in product lifecycle management , 2009, Int. J. Comput. Integr. Manuf..

[4]  Michael F. Zaeh,et al.  Powder-bed-based 3D-printing of function integrated parts , 2015 .

[5]  Yongsheng Ma,et al.  Product lifecycle management in aviation maintenance, repair and overhaul , 2008, Comput. Ind..

[6]  Tao Peng,et al.  A framework for big data driven process analysis and optimization for additive manufacturing , 2019, Rapid Prototyping Journal.

[7]  Abhishek Kumar,et al.  Effect of polygonal pin profiles on friction stir processed superplasticity of AA7075 alloy , 2017 .

[8]  Zhuguo Li,et al.  Cryogenic deformation mechanism of CrMnFeCoNi high-entropy alloy fabricated by laser additive manufacturing process , 2018 .

[9]  Toly Chen,et al.  Feasibility Evaluation and Optimization of a Smart Manufacturing System Based on 3D Printing: A Review , 2017, Int. J. Intell. Syst..

[10]  S. Fawcett,et al.  Supply Chain Game Changers — Mega, Nano, and Virtual Trends — And Forces that Impede Supply Chain Design (i.e., Building a Winning Team) , 2014 .

[11]  Dichen Li,et al.  Design and 3D printing of adjustable modulus porous structures for customized diabetic foot insoles , 2019, International Journal of Lightweight Materials and Manufacture.

[12]  Lai-fei Cheng,et al.  Structure design, fabrication, properties of laminated ceramics: A review , 2018, International Journal of Lightweight Materials and Manufacture.

[13]  S. Maidin,et al.  Feasibility Study of Additive Manufacturing Technology Implementation in Malaysian Automotive Industry Using Analytic Hierarchy Process , 2014 .

[14]  Niklas Sandler,et al.  Printing and Additive Manufacturing , 2019, AAPS PharmSciTech.

[15]  M. Yang,et al.  Smart metal forming with digital process and IoT , 2018, International Journal of Lightweight Materials and Manufacture.

[16]  Ying Liu,et al.  A Framework for Smart Production-Logistics Systems Based on CPS and Industrial IoT , 2018, IEEE Transactions on Industrial Informatics.

[17]  Yingfeng Zhang,et al.  A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions , 2019, Journal of Cleaner Production.

[18]  Yingfeng Zhang,et al.  A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products , 2017 .

[19]  Ying Liu,et al.  Agent and Cyber-Physical System Based Self-Organizing and Self-Adaptive Intelligent Shopfloor , 2017, IEEE Transactions on Industrial Informatics.

[20]  Paul Witherell,et al.  TOWARDS AN INTEGRATED DATA SCHEMA DESIGN FOR ADDITIVE MANUFACTURING: CONCEPTUAL MODELING , 2015 .

[21]  Sunil C. Joshi,et al.  3D printing in aerospace and its long-term sustainability , 2015 .

[22]  Fei Tao,et al.  Big Data in product lifecycle management , 2015, The International Journal of Advanced Manufacturing Technology.

[23]  Lei Ren,et al.  Customized production based on distributed 3D printing services in cloud manufacturing , 2016 .

[24]  Dimitris Kiritsis,et al.  Product Lifecycle Management and Embedded Information Devices , 2009, Handbook of Automation.

[25]  Zhaodong Zhang,et al.  Surface quality and forming characteristics of thin-wall aluminium alloy parts manufactured by laser assisted MIG arc additive manufacturing , 2018, International Journal of Lightweight Materials and Manufacture.

[26]  Kai Huang,et al.  Three-dimensional graphene-based materials by direct ink writing method for lightweight application , 2018, International Journal of Lightweight Materials and Manufacture.

[27]  Songlin Zhuang,et al.  A review of 3D-printed sensors , 2017 .

[28]  Yingfeng Zhang,et al.  A big data driven analytical framework for energy-intensive manufacturing industries , 2018, Journal of Cleaner Production.

[29]  Dimitris Kiritsis,et al.  Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth , 2015, IFIP Advances in Information and Communication Technology.

[30]  Harry Bikas,et al.  Addressing the challenges for the industrial application of additive manufacturing: Towards a hybrid solution , 2018, International Journal of Lightweight Materials and Manufacture.

[31]  Namchul Do,et al.  Integration of design and manufacturing data to support personal manufacturing based on 3D printing services , 2017 .

[32]  Weibiao Zhou,et al.  An Overview of 3D Printing Technologies for Food Fabrication , 2015, Food and Bioprocess Technology.

[33]  V. Badheka,et al.  Experimental Investigation on Hybrid Friction Stir Processing using compressed air in Aluminum 7075 alloy , 2017 .

[34]  Yusheng Shi,et al.  Microstructure and mechanical properties of 3Y-TZP dental ceramics fabricated by selective laser sintering combined with cold isostatic pressing , 2018, International Journal of Lightweight Materials and Manufacture.

[35]  Abhishek Kumar,et al.  Influence of Pin Profile on the Tool Plunge Stage in Friction Stir Processing of Al–Zn–Mg–Cu Alloy , 2017, Transactions of the Indian Institute of Metals.

[36]  G. Tapia,et al.  A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing , 2014 .