Affiliation:
1. UMFST Targu Mures
2. National Institute of Research-Development for Machines and Installations Designed to Agriculture and Food Industry Bucharest
Abstract
In this work, a method for optimizing the main clamping components for a vibration system on the working body of a plow is presented in order to reduce the forward forces. To achieve this goal, a variable geometric model is established, which considers the unique operational parameters, and a three-dimensional finite element model is generated for conducting an optimization investigation. The 3D finite element analysis is automatically refreshed for each version of the geometric model. An optimization analysis is characterized by its defined goals or objective functions, alongside design variables and constraints. To illustrate, one can adjust the dimensions of a component to minimize material usage, all the while ensuring that stresses remain below a predefined threshold. In this scenario, the volume being minimized serves as the objective function, the dimensions under adjustment represent the design variables, and the stress limitation acts as the behavior constraint. The main objective is to optimize fasteners using finite element analysis to reduce production cost with maximum efficiency.
Publisher
Trans Tech Publications Ltd
Reference11 articles.
1. Determining vertical oscillations of front-plow tractor without support wheel;Nadykto;Eastern-European Journal of Enterprise Technologies,2024
2. Research of the plowing quality with a unit based on a modular traction-transportation vehicle;Chaplinskyi;E3S Web of Conferences,2024
3. Linear plow with disk angle;Мaiviatov;E3S Web of Conferences,2023
4. Structural Design Optimization of the Top Beam of a Propeller Processing Machine Tool Using FEA Analysis;Zheng;Journal of Physics: Conference Series
5. Nazemosadat, SMR; Ghanbarian, D; Naderi-Boldaji, M; Nematollahi, MA (2022). Structural analysis of a mountedmoldboard plow using finite element simulation method. Spanish Journal of Agricultural Research, Volume 20, Issue 2, e0204.