Session: Poster Session

Paper Number: 162197

Increasing the Energy Efficiency of Cnc Machining by Optimizing the Tool Path 

This research proposal addresses the imperative of energy efficiency in CNC machining through
the systematic optimization of tool paths. Recognizing the pivotal role of tool path optimization in
reducing energy consumption, the proposal unfolds a multidimensional approach encompassing
algorithm development, integration, and experimental validation.
The research begins by elucidating the significance of tool path optimization within the context of
sustainable manufacturing. It identifies the lack of a systematic optimization framework as a
critical gap in current machining practices. The purpose of the study is succinctly outlined: to
develop a robust optimization algorithm for tool paths that enhances energy efficiency in CNC
machining.
The proposed methodology navigates through the development and integration of the optimization
algorithm, ensuring a seamless transition from theoretical advancements to real-world
applicability. Experimental validation becomes a focal point, with meticulously designed trials
covering baseline comparisons, sensitivity analyses, and real-time adaptability tests.
At the heart of the optimization process lies a carefully defined objective function, encapsulating
energy consumption minimization, material removal rate maximization, and adaptability to
changing conditions. The implementation of the optimization algorithm is detailed, emphasizing
algorithm selection, real-time adaptability, and integration with CNC machining processes.
Validation procedures are rigorous, spanning comparisons with experimental data, sensitivity
analyses, and real-time adaptability tests. The summary of experimental trials showcases the
versatility and applicability of the proposed tool path optimization, covering scenarios from
baseline comparisons to user-guided optimizations.
The overall impact and contribution of the research are underscored, with an emphasis on energy
conservation, environmental impact reduction, and the positioning of industries at the forefront of
innovation and competitiveness. In essence, this research proposal pioneers a transformative
approach to CNC machining, propelling manufacturing practices towards a sustainable,
technologically advanced future.

Keywords: CNC machining, energy efficiency, tool path optimization, computational modeling,
optimization algorithms, sustainability, manufacturing processes.
 

Presenting Author: Tesfay Abreha Berhe Budapest University of Technology and Economics

Presenting Author Biography: I am a PhD student in Mechanical Faculty at the Budapest University of Technology and Economics. My research focuses on Increasing the Energy efficiency of CNC machining by optimizing the tool path.

Prior to starting my PhD, I earned my Bachelors degree in mechanical engineering from Bahridar University, Ethiopia.
I am passionate about research and solving engineering issues, and I am excited to contribute to the vibrant academic community.

Authors:

Tesfay Abreha Berhe Budapest University of Technology and Economics