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Experimental and FEA of Optimized Existing Lower Control Arm

EasyChair Preprint no. 5119

12 pagesDate: March 9, 2021


The lower control arm is an interesting kind of autonomous suspension utilized in four wheel vehicles. During the genuine working condition, the most extreme load is moved from upper arm to the lower control arm which makes plausibility of failure in the arm. Henceforth it is fundamental to concentrate on the stress investigation of lower control arm to improve and alter the current design. A lower control arm is a significant part utilized in a suspension arrangement of a vehicle. So, this arm execution a significant job in dealing with the movement of the wheel during knock, turning, and breaking. In present research design of lower control arm is done in CATIA software. ANSYS19 software was also used for analyze the structural strength and optimize the parts weight along with modal analysis to determine natural frequency with mode shape and validate the results with FFT technique. The target of the new design was 8% weight reduction from the existing part fabricated using steel material. Testing and validation of new design using FFT analyzer is done and it is found that average percentage error in experimental and theoretical analysis of natural frequency is around 0.92%.

Keyphrases: Impact hammer test, LCA, modal analysis

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Sudarshan Bhalshankar and Amol Ubale},
  title = {Experimental and FEA of Optimized Existing Lower Control Arm},
  howpublished = {EasyChair Preprint no. 5119},

  year = {EasyChair, 2021}}
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