The Effect of Automotive Seat Cushion Stiffness Distribution on the Subjective Comfort
Hyo-Seong Ji1, Sung-Yuk Kim2, Key-Sun Kim3, Yong-Du Jun4
1Hyo-Seong Ji, Department of Mechanical Engineering, Kongju National University, Cheon-An, Republic of Korea.
2Sung-Yuk Kim, Department of Mechanical Engineering, Kongju National University, Cheon-An, Republic of Korea.
3Key-Sun Kim, Div. of Mechanical & Automotive Engineering, Kongju National University, Cheon-An, Republic of Korea.
4Yong-Du Jun, Div. of Mechanical & Automotive Engineering, Kongju National University, Cheon-An, Republic of Korea.
Manuscript received on 19 August 2019 | Revised Manuscript received on 29 August 2019 | Manuscript Published on 16 September 2019 | PP: 336-341 | Volume-8 Issue-2S6 July 2019 | Retrieval Number: B10640782S619/2019©BEIESP | DOI: 10.35940/ijrte.B1064.0782S619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: When body pressures are concentrated, sense of fatigue is increased. To confirm this, correlation analysis between the difference in stiffness of seat and comfort using multiple linear regression analysis has been conducted. For the selected three types of seats which are small-, mid-, and large-size seats, respectively, static tests were con-ducted to measure the distribution of the subject’s body pressure on the cushion, through which local stiffness distribution were derived. Also, a subjective comfort evaluation was conducted, and analyzed. According to the present analysis results, the correlation coefficients between stiff-ness of hip area and comfort of hip area were observed to be 0.713 and 0.789, respectively, indicating a strong positive correlation. Thus, the comfort of seat perceived by the driver could be seen to have the largest linear correlation with the stiffness of hip area. Selection of variables for the multiple linear regression analysis was implemented by a backward removal method. Differences of stiffness by areas were selected as independent variables, and subjective comfort evaluation results were selected as dependent variables. According to multiple regression analysis, the comfort of the cushion increased when the left and right balance of the stiffness distribution was maintained even if the body pressure distribution of the hip area was concentrated on one side. According to the analysis results, the stiffness of hip area could be seen to have the greatest linear relationship with the overall satisfaction of comfort, in which comfort is planned to be confirmed by actual production of seats.
Keywords: Comfort, Correlation Analysis, Seat, Static Characteristics, Subjective Evaluation, Multiple Linear Regression.
Scope of the Article: Mechanical Maintenance