Imperial College London
Portrait Picture

Dr Ajit Panesar

Faculty of Engineering, Department of Aeronautics

Senior Lecturer
 
 
 
//

Contact

 

a.panesar Website

 
 
//

Location

 

216City and Guilds BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Plocher:2019:10.1016/j.matdes.2019.108164,
author = {Plocher, J and Panesar, A},
doi = {10.1016/j.matdes.2019.108164},
journal = {Materials & Design},
pages = {1--20},
title = {Review on design and structural optimisation in additive manufacturing: Towards next-generation lightweight structures},
url = {http://dx.doi.org/10.1016/j.matdes.2019.108164},
volume = {183},
year = {2019}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - As the application of additive manufacturing (AM) reaches an unprecedented scale in both academia and industry, a reflection upon the state-of-the-art developments in the design for additive manufacturing (DfAM) and structural optimisation, becomes vital for successfully shaping the future AM-landscape. A framework, highlighting both the interdependencies between these two central aspects in AM and the necessity for a holistic approach to structural optimization, using lightweight strategies such as topology optimization and/or latticing, was established to summarize the reviewed content. Primarily focusing on isotropic material considerations and basic stiffness-optimal problems, these concepts have already found wide application, bridging the gaps between design and manufacturing as well as academia and industry. In pursuit of streamlining the AM-workflow towards digitally print-ready designs, studies are increasingly investigating mathematically-based structural optimization approaches in conjunction with DfAM-specific constraints, providing a portfolio of solutions like generative design, which is gaining traction in industry. Besides an overview on economically-driven to performance-driven design optimizations, insight into commercial AM-specific software is provided, elucidating potentials and challenges for the community. Despite the abundance of AM design methods to-date, computationally inexpensive solutions for common engineering problems are still scarce, which is constituting one of many key challenges for the future.
AU  - Plocher,J
AU  - Panesar,A
DO  - 10.1016/j.matdes.2019.108164
EP  - 20
PY  - 2019///
SN  - 0264-1275
SP  - 1
TI  - Review on design and structural optimisation in additive manufacturing: Towards next-generation lightweight structures
T2  - Materials & Design
UR  - http://dx.doi.org/10.1016/j.matdes.2019.108164
UR  - https://www.sciencedirect.com/science/article/pii/S0264127519306021?via%3Dihub
UR  - http://hdl.handle.net/10044/1/73026
VL  - 183
ER  -
Download