HardnessTesterV: A Web Machine Learning application for Vickers Hardness Prediction of a Metallic Alloy Using Flask API

Ayorinde Tayo Olanipekun, Daniel Mashao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This research presents the HardnessTesterV app- a web application for predicting the Vicker hardness of Laser welded Metallic alloy using Flask API, HTML, and CSS to build the front end and back end. Vickers hardness is an important property in the manufacturing industry, and predicting it accurately is vital for material selection and design. The Web application takes some of the important processing parameters as the input features and uses a random forest Machine learning model to predict its Vickers hardness. Flask API was used to create a RESTful interface that provides a user-friendly platform for users to submit the combinations of the processing parameters and receive predictions. HTML and CSS were used to design the front end of the web application to provide a visually appealing interface for users. The application was deployed on a PythonAnywhere cloud server, making it easily accessible to users. The application was deployed on a cloud server, making it easily accessible to users worldwide. The accuracy of the predictions was evaluated using various metrics and the results showed that the developed model can accurately predict the Vickers hardness of metallic alloys. HardnessTesterV web app measures the Vickers hardness of 2507 Duplex stainless steel material. The web application is expected to be a valuable tool for engineers and researchers in the manufacturing industry for material selection and design.

Original languageEnglish
Title of host publication4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350369694
DOIs
Publication statusPublished - 2023
Event4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023 - Dubai, United Arab Emirates
Duration: 30 Dec 202331 Dec 2023

Publication series

Name4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023

Conference

Conference4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023
Country/TerritoryUnited Arab Emirates
CityDubai
Period30/12/2331/12/23

Keywords

  • Flask API
  • machine learning app
  • mechanical properties
  • Vicker Hardness
  • Web applications

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Instrumentation

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