Three-Dimensional Visualization of Energy Consumption Data in Additive Manufacturing

Abstract This paper addresses the growing interest in design for sustainable manufacturing, focusing particularly on Additive Manufacturing (AM). While AM offers advantages like customized geometries and reduced material usage, there’s a need to address energy consumption in 3D printing beyond the conventional emphasis on material reduction. While previous research has explored various techniques for predicting and reducing the energy consumption of AM processes, there is limited work on guiding designers to generate more energy-efficient designs via localized geometric changes. This paper introduces a method to visualize energy consumption directly on 3D objects, aiming to guide designers in optimizing object shapes for sustainability. The methodology presented in the paper involves several steps: data collection, interpolation of positional points, classification of objects, support structures, and rapid movements. Following this, support and rapid movement energy are allocated to the printed object. Finally, the energy required for printing the object is directly visualized on a 3D model of the object using a mesh interpolation scheme. A use case demonstrating the potential application of the visualization method for reducing printing energy consumption is presented, through introducing a local shape modification to an axle bracket based on the visualization information. This modification resulted in a 7.5% energy reduction in this analyzed region compared to the original design. Thus, results showcase the ability of the proposed visualization method to support sustainability-oriented design for AM, through incorporating local shape modifications.

Authors

Institutions

Publication Details

Published
2024-08-25
DOI
https://doi.org/10.1115/detc2024-143405
Citations
1
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Three-Dimensional Visualization of Energy Consumption Data in Additive Manufacturing

Mette Lausten Hansen, Rami Mansour, Devarajan Ramanujan, Teodor Vernica
1 citations
Additive Manufacturing and 3D Printing Technologies
0.20
article

Three-Dimensional Visualization of Energy Consumption Data in Additive Manufacturing

Mette Lausten Hansen, Rami Mansour, Devarajan Ramanujan, Teodor Vernica
article en
1 citations

Abstract

Abstract This paper addresses the growing interest in design for sustainable manufacturing, focusing particularly on Additive Manufacturing (AM). While AM offers advantages like customized geometries and reduced material usage, there’s a need to address energy consumption in 3D printing beyond the conventional emphasis on material reduction. While previous research has explored various techniques for predicting and reducing the energy consumption of AM processes, there is limited work on guiding designers to generate more energy-efficient designs via localized geometric changes. This paper introduces a method to visualize energy consumption directly on 3D objects, aiming to guide designers in optimizing object shapes for sustainability. The methodology presented in the paper involves several steps: data collection, interpolation of positional points, classification of objects, support structures, and rapid movements. Following this, support and rapid movement energy are allocated to the printed object. Finally, the energy required for printing the object is directly visualized on a 3D model of the object using a mesh interpolation scheme. A use case demonstrating the potential application of the visualization method for reducing printing energy consumption is presented, through introducing a local shape modification to an axle bracket based on the visualization information. This modification resulted in a 7.5% energy reduction in this analyzed region compared to the original design. Thus, results showcase the ability of the proposed visualization method to support sustainability-oriented design for AM, through incorporating local shape modifications.

Aarhus University (DK)
Affordable and clean energy
Openalex Percentile: Top 48%
Additive Manufacturing and 3D Printing Technologies
0.20
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.