About
Dr Amit Das is a Senior Lecturer at Swansea University.
Dr Amit Das is a Senior Lecturer at Swansea University.
This module provides an introduction to several AI algorithms for engineering/physics problems. The specific engineering problems chosen to demonstrate the benefits offered by AI algorithms are 1) interpretation/processing of data from distributed sensors; 2) optimisation of material/device properties through physics informed neural network. The module teaches students basic statistical skills underpinning machine learning/artificial intelligence such as probability analysis and regression, as well as several case studies that use existing AI software to analyse engineering problems. Two assessments (exam and individual project, each carries 50%) for each term, designed to examine understanding of the basic machine leaning concepts and using the software to solve engineering problems, take place in the middle of term and end of term. Emphasis is placed on the use of existing software for tackling engineering problems.
This module introduces students to the fundamental principles of developing mathematical models for heat and mass transfer problems commonly encountered in manufacturing processes within Materials Engineering. It covers overview of some common manufacturing processes and the formulation of simplified field-based equations to represent these processes and the numerical methods used to solve them. Students will learn how to discretise the domain and implement numerical solutions. Practical sessions provide hands-on experience, enabling students to integrate mathematical, numerical, and metallurgical principles into fully functional simulations of heat and mass transfer scenarios. Mae¿r modiwl hwn yn cyflwyno myfyrwyr i¿r egwyddorion sylfaenol ar gyfer datblygu modelau mathemategol ar gyfer problemau trosglwyddo gwres a màs sy¿n gyffredin mewn prosesau gweithgynhyrchu ym maes Peirianneg Deunyddiau. Mae¿n cynnwys trosolwg o rai prosesau gweithgynhyrchu cyffredin a¿r ffurfioliad o hafaliadau maes syml i gynrychioli¿r prosesau hyn, ynghyd â¿r dulliau rhifiadol a ddefnyddir i¿w datrys. Bydd myfyrwyr yn dysgu sut i ddisgrifi¿r parth a gweithredu atebion rhifiadol. Mae sesiynau ymarferol yn cynnig profiad ymarferol, gan alluogi myfyrwyr i integreiddio egwyddorion mathemategol, rhifiadol a metelwraidd i greu efelychiadau gweithredol llawn o senarios trosglwyddo gwres a màs.
This module introduces the fundamental principles of thermodynamics and kinetics that underpin the development and interpretation of phase diagrams, key phase transformations, and the resulting evolution of microstructure in metallic materials. It examines how microstructures develop and how they can be controlled to tailor the mechanical properties of metallic alloys, with a focus on industrially significant manufacturing processes and commercially important alloy systems. A wide range of case studies is integrated throughout the module to illustrate real-world applications and enhance contextual understanding. Theoretical concepts are reinforced through practical components, enabling students to examine, measure, and interpret microstructure formation and associated mechanical properties across various commercial alloys. The module also develops skills in microstructural and mechanical property characterisation, and fosters logical reasoning based on binary phase diagrams to understand phase transformations and the influence of processing on microstructure. Mae¿r modiwl hwn yn cyflwyno egwyddorion sylfaenol thermodynameg a chineteg sy¿n sail i ddatblygu a dehongli diagramau cam, trawsnewidiadau cam allweddol, a¿r esblygiad o strwythurau micro mewn deunyddiau metelig. Mae¿n archwilio sut mae strwythurau micro yn datblygu a sut y gellir eu rheoli i addasu priodweddau mecanyddol aloion metelig, gan ganolbwyntio ar brosesau gweithgynhyrchu o bwys diwydiannol ac ar systemau aloion masnachol arwyddocaol. Mae ystod eang o astudiaethau achos wedi¿u hintegreiddio drwy¿r modiwl i ddangos cymwysiadau byd go iawn ac i wella dealltwriaeth gyd-destunol. Mae cysyniadau damcaniaethol yn cael eu hatgyfnerthu drwy gydrannau ymarferol, gan alluogi myfyrwyr i archwilio, mesur a dehongli ffurfiant strwythurau micro a¿r priodweddau mecanyddol cysylltiedig mewn amrywiaeth o aloion masnachol. Mae¿r modiwl hefyd yn datblygu sgiliau mewn nodweddu strwythurau micro a phriodweddau mecanyddol, ac yn meithrin rhesymu rhesymegol yn seiliedig ar ddiagramau cam deuol i ddeall trawsnewidiadau cam a dylanwad prosesu ar strwythurau micro.
The module aims to develop fundamental research skills. It comprises the development of supervised research work leading to a dissertation in the field of the Master's degree programme. The specific research topic will be chosen by the student following consultation with academic staff.