Deadline Extended - Call for Papers: Special Issue on Additive Manufacturing for IISE Transactions

CALL FOR PAPERS

Special Issue on Additive Manufacturing

IISE Transactions Focus Issue on Design and Manufacturing

Deadline Extended 

Additive manufacturing (AM), or known as three-dimensional (3D) printing, refers to a new class of technologies associated with the direct fabrication of physical products from Computer-Aided Design (CAD) models by a layered manufacturing process. It is widely recognized as a disruptive technology, having the potential to fundamentally change the nature of future manufacturing. The changes involve each stage of the product life-cycle: design, modeling and simulation, manufacturing, quality control, metrology, and logistics, etc. This special issue intends to collect cutting-edge research works illustrating the impact of AM on design and manufacturing. Topics of interest for this special issue include, but are not limited to the following:

•        Design for AM
•        Process planning for additive manufacturing
•        New AM processes and new material processing using AM techniques
•        Functionally graded and multimaterial AM
•        Design, analysis and optimization of AM parts
•        Modeling and simulation of AM processes
•        In-situ and in-line sensing, monitoring, and control of AM processes
•        Statistical process control and capability analysis for AM processes
•        Inspection, validation, verification and qualification of AM parts
•        Data analytics and learning for AM, including cyber-enabled AM
•        Shape analysis for AM 
•      Logistics and supply chain for AM
•      Uncertainty quantification for AM
•       AM applications in biomedical, energy, and transportation fields

Important Dates

         Manuscript submission deadline: September 1st, 2017  December 1^st, 2017

•       Notification of disposition of the manuscript: December 1st, 2017  March 1^st, 2018

•       Final revisions due:  February 1st, 2018  May 1^st, 2018

•       Final paper acceptance decision, April 1st, 2018    July 1^st, 2018

•       Publication date: Fall/Winter 2018

Submission Guidelines:

Authors should submit their paper through Scholar One's Manuscript Central online manuscript submission system at http://mc.manuscriptcentral.com/iietransactions. Please follow the instructions carefully.  When queried, indicate the paper is being submitted to a Special Issue, identify the special issue as Additive Manufacturing Special Issue and select Qiang Huang as the preferred Editor.

Special Issue Editors:

Prof. Qiang Huang, qiang.huang@usc.edu, University of Southern California

Prof. Zhengyu (James) Kong, zkong@vt.edu, Virginia Tech

Prof. Xiaoping Qian, xiaoping.qian@wisc.edu, University of Wisconsin-Madison.

Prof. Bianca Colosimo, biancamaria.colosimo@polimi.it, Politecnico di Milanohttp://www.iise.org/uploadedFiles/IIE/Author_permissions/CFP-Addtive%20Mfg-IISE.pdf

US Army Report: Emerging Science and Technology Trends: 2016-2045

Additive Manufacturing + Analytics + Cyber

Top 24 from the Report

1. • Robotics and autonomous systems
2. • Additive manufacturing
3. • Analytics
4. • Human augmentation
5. • Mobile and cloud computing
6. • Medical advances
7. • Cyber
8. • Energy
9. • Smart cities
10. • Internet of things
11. • Food and water technology
12. • Quantum computing
13. • Social empowerment
14. • Advanced digital
15. • Blended reality
16. • Technology for climate change
17. • Advanced materials
18. • Novel weaponry
19. • Space
20. • Synthetic biology
21. • Changing nature of work
22. • Privacy
23. • Education
24. • Transportation and logistics

A very informative euspen workshop on Quality Control for Additive Manufacturing

A recent workshop on Quality Control for Additive Manufacturing gave a nice overview of AM research in UK and some European countries. Details can be found from
http://www.euspen.eu/our-events/programme-quality-control-for-additive-manufacturing/

Recent talk on Geometric Shape Accuracy Control

Talks were given recently at University of Michigan-Ann Arbor and Georgia Tech. Slides can be downloaded here.

Methodology Extension from Stereolithography (SLA) to Selective Laser Melting (SLM)

     An initial study of SLM experimental data demonstrates that our prescriptive modeling methodology can be extended to metal based additive manufacturing processes.
 
   Based on four simple test shapes, we can predict the in-plane deformation profile of a freeform shape. Below is the predicted deformation (in solid line) comparing with CMM measurement (red dots). This is a joint study with Prof. Colosimo and Prof. Grasso at Politecnico di Milano.

                                      The plot was generated by PhD student Ms. HE Luan at USC.