A survey of the design methods for additive manufacturing to improve functional performance

Abstract

Purpose -This paper aims to provide a comprehensive review of the state-of-the-art design methods for additive manufacturing (AM) technologies to improve functional performance. Design/methodology/approach -In this survey, design methods for AM to improve functional performance are divided into two main groups. They are design methods for a specific objective and general design methods. Design methods in the first group primarily focus on the improvement of functional performance, while the second group also takes other important factors such as manufacturability and cost into consideration with a more general framework. Design methods in each groups are carefully reviewed with discussion and comparison. Findings -The advantages and disadvantages of different design methods for AM are discussed in this paper. Some general issues of existing methods are summarized below: most existing design methods only focus on a single design scale with a single function; few product-level design methods are available for both products' functionality and assembly; and some existing design methods are hard to implement for the lack of suitable computer-aided design software. Practical implications -This study is a useful source for designers to select an appropriate design method to take full advantage of AM. Originality/value -In this survey, a novel classification method is used to categorize existing design methods for AM. Based on this classification method, a comprehensive review is provided in this paper as an informative source for designers and researchers working in this field.

A framework to reduce product environmental impact through design optimization for additive manufacturing

“…However, for AM, DFM methods and guidelines created for conventional manufacturing processes are no longer suitable. This is because AM M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT technologies provide designers with unique and extensive freedom to further optimize the design to be more environmentally friendly without compromising its functional performance (Tang and Zhao, 2016). For example, structural optimization methods can be applied to significantly reduce structural weight, which may decrease the energy and material consumption during the process of product fabrication.…”

A Part Consolidation Design Method for Additive Manufacturing based on Product Disassembly Complexity

“…In this sense, design for additive manufacturing (DFAM) has been introduced to take full advantage of the design freedom with concerning part consolidation and redesign, and hierarchical structures [6]. Most of previous studies in DFAM are to enhance performance of products while reducing costs [4,8,9], improve functional performance [10], and focus on design guidelines to print parts successfully under AM limitations [11]. Ponche, et al [12] proposed a new DFAM methodology to consider design requirements and manufacturing specifications.…”

Electrokinetic Properties of 3D-Printed Conductive Lattice Structures

“…Under the condition k α, one gets L( k) ≈ (1 + 2k 2 /α 2 )/k 2 and ρ( k) ≈ ρ k k/k 2 + 2ρ k k/α 2 . After back Fourier transform of Equation (18), the first term of the small-k development for ρ( k) generates the first term of Equation (26), and the second term gives −2ρ ∇ ∇ · j( r)/α 2 . Locally, the first term of Equation (26) should reproduce the microscopic Ohm's law that, after adding the correction just obtained, becomes:…”