Lightweight Injection Mold Design and Multi-Objective Process Optimization for UAV Upper Cover

The growing demand for light-weight unmanned aerial vehicles (UAV) has created a demand for new ways of component design and manufacturing. This study presents the structural optimization and multi-objective process parameter optimization of an injection mold for a UAV cover. In the initial design, the mold structure was redesigned using finite element analysis (FEA) tools to enhance material flow, reduce weight, and provide mechanical strength. The novel mold represented strategic weight-saving properties such as variable wall thickness and lattice infill regions and was verified by a CAD-based simulation design methodology. Subsequently, an AI-optimized optimization algorithm of a genetic algorithm (GA) and response surface methodology (RSM) was adopted to reduce the multi-objective problem of part weight and warpage with the condition of maintaining structural strength. Simulation results validated that the redesigned mold had significant weight reduction with no loss of performance, demonstrating the effectiveness of the integrated strategy.

Authors

Publication Details

Journal
電腦學刊
Published
2025-06-29
DOI
https://doi.org/10.63367/199115992025063603014
Primary Topic
Injection Molding Process and Properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lightweight Injection Mold Design and Multi-Objective Process Optimization for UAV Upper Cover

Peng Lin, Soon Tat Kong, Tao Wang, Weiping Shi et al.
電腦學刊
Injection Molding Process and Properties
article

Lightweight Injection Mold Design and Multi-Objective Process Optimization for UAV Upper Cover

Peng Lin, Soon Tat Kong, Tao Wang, Weiping Shi, Lihua Hu, Feng Yang
article en

Abstract

The growing demand for light-weight unmanned aerial vehicles (UAV) has created a demand for new ways of component design and manufacturing. This study presents the structural optimization and multi-objective process parameter optimization of an injection mold for a UAV cover. In the initial design, the mold structure was redesigned using finite element analysis (FEA) tools to enhance material flow, reduce weight, and provide mechanical strength. The novel mold represented strategic weight-saving properties such as variable wall thickness and lattice infill regions and was verified by a CAD-based simulation design methodology. Subsequently, an AI-optimized optimization algorithm of a genetic algorithm (GA) and response surface methodology (RSM) was adopted to reduce the multi-objective problem of part weight and warpage with the condition of maintaining structural strength. Simulation results validated that the redesigned mold had significant weight reduction with no loss of performance, demonstrating the effectiveness of the integrated strategy.

電腦學刊
Openalex Percentile: Top 85%
Injection Molding Process and Properties
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Lightweight Injection Mold Design and Multi-Objective Process Optimization for UAV Upper Cover — Peng Lin, Soon Tat Kong, et al. · 電腦學刊 (2025) | TGRS Research Map | TGRS