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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/61237


    Title: 電動自行車避震系統對於乘適性與脊椎損傷機率之影響
    Authors: 陳壹琮;chen,Yi-cong
    Contributors: 機械工程學系
    Keywords: 電動自行車;數值模擬;脊椎損傷;乘坐舒適性
    Date: 2013-07-19
    Issue Date: 2013-08-22 12:15:45 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 隨著都市人口大量移入,大眾運輸系統已不堪負荷,而電動自行車逐漸受到重視。本研究整合CAE與CAD等電腦模擬技術,作為電動自行車開發的參考與依據。內容探討前後避震彈簧係數、阻尼係數與車架結構對於乘適性、脊椎損傷機率與車架應力之影響。
    首先進行模型繪製,利用SolidWorks軟體建立電動自行車車架模型,再將模型匯入ADAMS進行動態模擬,可求得電動自行車架結構在路面行駛其間受到的加速度歷程與負荷狀態,之後再將得知的加速度歷程用ISO 2631-1與ISO 2631-5進行轉換,可求得乘坐舒適程度與脊椎損傷風險因子。此外,將車架模型匯入ANSYS軟體中,並以前述所得之負荷歷程作為負載條件,以進行該車架動態應力分析。
    經由分析可得知,電動自行車在動態響應模擬與實車測試所得之平均加速度誤差為0.82%,顯見本研究所開發出之電腦數值模擬技術具有優異的準確性。研究結果亦顯示在最佳避震系統參數條件組合下,能有效提高15.94%乘適性、降低4.68%脊椎損傷機率以及降低車架5.83%最大應力。相信本研究結果對於國內廠商在設計新型電動自行車有所助益。
    As the quick increase of urban population, the city’s transportation system has become adequate. The electric bicycle is getting popular in the world. Software like Computer Aided Design (CAD) and Computer Aided Engineering (CAE) were used in the development of electric bicycles. The riding comfort and probability of spinal cord injury related to suspension and frame structure were discussed.
    First of all, the model of electric bicycle frame was drawn by using SolidWorks software, and then it was imported into and simulated by the ADAMS software. After that, the acceleration and loading histories of electric bicycle were obtained. By using ISO 2631-1 and ISO 2631-5 standards, the riding comfort and risk factor of spinal cord injury were acquired. In addition, the frame model was imported into the ANSYS software and the dynamic stress was analyzed by using loading history obtained in the previous process.
    The analysis shows that the acceleration error of electric bicycles between dynamic response simulation and real vehicle test was about 0.82%. It means that the simulation model developed in this study performs in an excellent accuracy. Moreover, this study also noted that better riding comfort and lower risk factor would be obtained by suitably decreasing the K and C values in suspension system. Last, the results in this study are expected to be helpful for the designs on new type electric bicycle.
    Appears in Collections:[Graduate Institute of Mechanical Engineering] Electronic Thesis & Dissertation

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