Abstract
The objective of our paper is to design and model a mobile application-controlled automobile screw jack using android programming as an Internet of Things platform. Today's importance on technology expansion has projected a good design and quality product in a lesser time to ease the complicated process of human being. The development of software has become a vital in the digital world to satisfy a number of demands of the user or applications. In order to accomplish the demand of current era, the article has been modelled a design for a mobile enabled hydraulic screw jack system. The description of evolving design and signification of its industrial implication has been shown here. Screw jack used for automobiles is emerging as necessary technology expansion in the industry of automobiles to produce application that allows lifting heavy load on applying less effort. The primary importance of the design of automobile screw jack is to reduce human involvement and their contribution to lift a load. Further there is a significance increases in the efficiency of screw jack model and its designs as ergonomically, (i.e.) neglecting of the complex operating as well as positioning of the screw jack by the operators. On usage of hydraulic system and pneumatic system, the system reduces involvement to lift load on basis of the computation calculation. But in this case also complexity in the posture and position of worker during the operation remains the same here. Hence, we have to design a jack for car which is motorised for easiness of use. But somehow in any case of failure in this electronic system, then the jack will be not able to work further manually. In this work, the entire setup is administrated by mobile application which is constructed as MIT app maker and the important functionality of this project is controlled using Arduino Uno which controls all the motors by obtaining signals from the app with help of a wifi module (ESP8266), Arduino builds the code which is encoded into it by Arduino encoder. Entire assembly is propagated by 60 RPM DC motors. Importance of this model is to make system as effortless and fast response in weight lifting, further it reduces the physical fatigue felt by the weight lift operating employee. Experimental results prove that proposed model outperforms the existing Bluetooth based model on terms of the efficiency and accuracy.
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This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation.
IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process.
IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further.
[1] Cabanac G, Labbé C and Magazinov A 2021 arXiv:2107.06751v1
Retraction published: 23 February 2022