{"title":"Preliminary Model of Energy Harvesting through Prosthetics","authors":"Vyom Sachan","doi":"10.37906/isteamc.2022.2","DOIUrl":null,"url":null,"abstract":"The goal of the paper is to harvest energy through the flexing of a piezoelectric unit in a prosthetic limb. Depending upon the flex of the sensor, it produces a voltage output. To embed this in a forearm prosthetic, a piezoelectric sensor can be attached to the hinge joint. Hence, the more it moves, the more voltage output is produced. In this paper, a prosthetic limb is modeled as a physical pendulum. The experiment done includes a voltmeter, a physical pendulum, and a piezoelectric sensor attached to the axis. Due to the formula breakdown into a 2-parameter model, the chi-squared analysis on the formula is much simpler. Hence, the author could fit the model to the data and the best fit values were found.","PeriodicalId":309267,"journal":{"name":"International STEAM Communications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International STEAM Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37906/isteamc.2022.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The goal of the paper is to harvest energy through the flexing of a piezoelectric unit in a prosthetic limb. Depending upon the flex of the sensor, it produces a voltage output. To embed this in a forearm prosthetic, a piezoelectric sensor can be attached to the hinge joint. Hence, the more it moves, the more voltage output is produced. In this paper, a prosthetic limb is modeled as a physical pendulum. The experiment done includes a voltmeter, a physical pendulum, and a piezoelectric sensor attached to the axis. Due to the formula breakdown into a 2-parameter model, the chi-squared analysis on the formula is much simpler. Hence, the author could fit the model to the data and the best fit values were found.