4.7 Article

Determination of optimal build orientation for additive manufacturing using Muirhead mean and prioritised average operators

Journal

JOURNAL OF INTELLIGENT MANUFACTURING
Volume 30, Issue 8, Pages 3015-3034

Publisher

SPRINGER
DOI: 10.1007/s10845-019-01497-6

Keywords

Additive manufacturing; Build orientation determination; Optimal build orientation; Correlative relationship; Priority relationship; Fuzzy multi-attribute decision making

Funding

  1. EPSRC UKRI Innovation Fellowship [EP/S001328/1]
  2. EPSRC Fellowship in Manufacturing [EP/R024162/1]
  3. EPSRC Future Advanced Metrology Hub [EP/P006930/1]
  4. EPSRC [EP/P006930/1, EP/S001328/1, EP/R024162/1] Funding Source: UKRI

Ask authors/readers for more resources

Build orientation determination is one of the essential process planning tasks in additive manufacturing since it has crucial effects on the part quality, post-processing, build time and cost, etc. This paper introduces a method based on fuzzy multi-attribute decision making to determine the optimal build orientation from a finite set of alternatives. The determination process includes two major steps. In the first step, attributes that are considered in the determination and heterogeneous relationships of which are firstly identified. A fuzzy decision matrix is then constructed and normalised based on the values of the identified attributes, which are quantified by a set of fuzzy numbers. In the second step, two fuzzy number aggregation operators are developed to aggregate the fuzzy information in the normalised matrix. By comparing the aggregation results, a ranking of all alternative build orientations can then be generated. Two determination examples are used to demonstrate the working process of the proposed method. Qualitative and quantitative comparisons between the proposed method and other methods are carried out to demonstrate its feasibility, effectiveness, and advantages.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available