martin frank

How Covid-19 Enabled a Global Student Design Team to Achieve Breakthrough Innovation

Abstract A data analysis method based on artificial neural networks aiming to support cause-and-effect analysis in design exploration studies is presented. The method clusters and aggregates the effects of multiple design variables based This is a qualitative single case study of a geographically distributed student team that experienced a quite different graduate course, compared to previous year’s. This was due...

ReGlove slutar topp 20 i James Dyson Award och vinner Sparbanksstiftelsen Kronans Jubileumsstipendium

ReGlove-projektet var under lång tid med i tävlingen James Dyson Award 2020 med sin lösning som att återtillverka engångsplasthandskar från förbrukade handskar. När året nu närmar sig sitt slut kan vi sammanfatta att projektet slutade i topp-20 i konkurrens med mer än 1800 bidrag världen över, det enda svenska laget som nådde den sista omgången av tävlingen. Studenterna vann också...

Studenter prisade av Sparbanksstiftelsen Kronan

På den årliga stipendieutdelningen från Sparbanksstiftelsen Kronan (i år online pga pandemin) fick fyra examensarbeten från BTH Maskinteknik priser. Vi gratulerar pristagarna! Mer information For more information: Product Development Research Lab Director, Professor Tobias C. Larsson, tobias.larsson@bth.se, +46(0)455-385525

Studentidé blev rullande handskfabrik

Att vara självförsörjande på sjukvårdsartiklar, till exempel engångshandskar, skulle underlätta inom vården. Nu har BTH:s studenter tagit fram en rullande handskfabrik som kan förflyttas mellan olika platser där handskar behövs.

Welcome as industrial PhD candidate Martin Frank!

Martin Frank is an industrial PhD candidate at BTH. Working as Research Engineer within Emerging Technologies at Volvo Construction Equipment he’ll now “double” by doing his PhD with a focus on data-driven design for autonomous systems. Martin is contributing to, and doing research in, the KKS research profile “Model Driven Development and Decision Support“.

Data Mining through Early Experience Prototyping: A step towards Data Driven Product Service System Design

ABSTRACT The construction industry is ripe for disruption through innovative solutions that provide added productivity. Equipment manufacturers are attempting to disrupt their industry with investments in autonomy, electrification and product-service system business models. Designing solutions that will operate in completely new systems or modify an existing complex system require new approaches to address the uncertainty of system impacts. An iterative...