Energy Consumption Modeling for DED-based Hybrid Additive Manufacturing

by   Md Rabiul Hasan, et al.

The awareness of energy consumption is gaining much more attention in manufacturing due to its economic and sustainability benefits. An energy consumption model is needed for quantifying the consumption and predicting the impact of various process parameters in manufacturing. This paper aims to develop an energy consumption model for Direct Energy Deposition (DED) based Hybrid Additive Manufacturing (HAM) for an Inconel 718 part. The Specific Energy Consumption (SEC) is used while developing the energy consumption of the product manufacturing lifecycle. This study focuses on the analysis to investigate three significant factors (scanning speed, laser power, and feed rate), their interactions' effects, and whether they have a significant energy consumption. The results suggest that all the factors have a strong influence, but their interaction effects have a weak influence on the energy consumption for HAM. Among the three process parameters, it is found that laser power has the most significant effect on energy consumption. Again, based on the regression analysis, this study also recommends high scanning speed while the laser power and feed rate should be low. Also, idle time has significant energy consumption during the whole HAM process.


page 4

page 5


Future Energy Consumption Prediction Based on Grey Forecast Model

We use grey forecast model to predict the future energy consumption of f...

Energy Consumption Analysis Of Machining Centers Using Bayesian Analysis And Genetic Optimization

Responding to the current urgent need for low carbon emissions and high ...

Energy management system for biological 3D printing by the refinement of manifold model morphing in flexible grasping space

The use of 3D printing, or additive manufacturing, has gained significan...

Vibration-suppressed toolpath generation for kinematic and energy performance optimization in large dimension additive manufacturing

Product quality and sustainability in large dimension additive manufactu...

A Conceivable Origin of Machine Consciousness in the IDLE process

In this short paper, we would like to call professional community's atte...

Comparing Multilayer Perceptron and Multiple Regression Models for Predicting Energy Use in the Balkans

Global demographic and economic changes have a critical impact on the to...

Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders

The objective of this paper is to minimize the energy consumption of a q...

Please sign up or login with your details

Forgot password? Click here to reset