Build Orientation Determination for Multi-material Deposition Additive Manufacturing with Continuous Fibers

Abstract Build orientation of a part in Additive Manufacturing (AM) has complex effect on part's quality, process planning, post-processing, processing time and cost, etc. The identification of the optimal build orientation for a part is one of the main contents of process planning in AM. In this paper, a build orientation optimization strategy is developed for a new AM process, multi-material deposition with continuous fibers, to improve the part quality while reducing the production time & cost. First, a set of finite alternative build orientations are generated by using surface shape feature with associated rules derived from the specific characteristics and constraints of the new developing AM process; then, a multi-attribute decision making algorithm is applied to determine the optimal orientation according to preset preferences. A case study is presented for demonstration.

[1]  Debasish Dutta,et al.  A review of process planning techniques in layered manufacturing , 2000 .

[2]  Alain Bernard,et al.  An integrated decision-making model for multi-attributes decision-making (MADM) problems in additive manufacturing process planning , 2014 .

[3]  Duc Truong Pham,et al.  Part Orientation in Stereolithography , 1999 .

[4]  Han Tong Loh,et al.  Considerations and selection of optimal orientation for different rapid prototyping systems , 1999 .

[5]  John Giannatsis,et al.  Efficient parts nesting schemes for improving stereolithography utilization , 2013, Comput. Aided Des..

[6]  P. Bártolo,et al.  Additive manufacturing of tissues and organs , 2012 .

[7]  K. P. Karunakaran,et al.  Low cost integration of additive and subtractive processes for hybrid layered manufacturing , 2010 .

[8]  Giovanni Moroni,et al.  Functionality-based Part Orientation for Additive Manufacturing☆ , 2015 .

[9]  Alain Bernard,et al.  Feature based building orientation optimization for additive manufacturing , 2016 .

[10]  Kalyanmoy Deb,et al.  Multi‐objective optimisation and multi‐criteria decision making in SLS using evolutionary approaches , 2011 .

[11]  Jean-Pierre Kruth,et al.  Composites by rapid prototyping technology , 2010 .

[12]  Jean-Pierre Kruth,et al.  ADDITIVE MANUFACTURING OF THERMOPLASTIC COMPOSITES , 2013 .

[13]  Andrew Y. C. Nee,et al.  Multi‐objective optimization of part‐ building orientation in stereolithography , 1995 .

[14]  Guilan Wang,et al.  Fundamental study on plasma deposition manufacturing , 2003 .

[15]  Brent Stucker,et al.  Use of ultrasonic consolidation for fabrication of multi‐material structures , 2007 .

[16]  Ian Gibson,et al.  Composites in rapid prototyping , 2009 .

[17]  Ming-Chuan Leu,et al.  Progress in Additive Manufacturing and Rapid Prototyping , 1998 .

[18]  K. Furutani,et al.  A New Process of Additive and Removal Machining by EDM with a Thin Electrode , 2000 .

[19]  David W. Rosen,et al.  A process planning method for improving build performance in stereolithography , 2001, Comput. Aided Des..

[20]  Syed H. Masood,et al.  A generic algorithm for a best part orientation system for complex parts in rapid prototyping , 2003 .

[21]  Alain Bernard,et al.  Using AM feature and multi-attribute decision making to orientate part in Additive Manufacturing , 2013 .

[22]  Hagedorn Yves-Christian,et al.  Net shaped high performance oxide ceramic parts by selective laser melting , 2010 .

[23]  Georges Fadel,et al.  Expert system-based selection of the preferred direction of build for rapid prototyping processes , 1995, J. Intell. Manuf..

[24]  W. Zhong,et al.  Short fiber reinforced composites for fused deposition modeling , 2001 .

[25]  Kwan H. Lee,et al.  Determination of the optimal build direction for different rapid prototyping processes using multi-criterion decision making , 2006 .

[26]  D. Karalekas,et al.  Composite rapid prototyping: overcoming the drawback of poor mechanical properties , 2004 .