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Seminar

Emerging developments in manufacturing from academia

Nov
21
21 Nov 2024 /  
12:00pm - 1:30pm
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Online event

About

Join us for this webinar covering Academic Topics in Manufacturing. This event is aimed at presenting emerging developments in Manufacturing and challenging attendees to think differently about opportunities for manufacturing within their areas of responsibility.

Hear an overview of academic developments in science and technology that could have an impact on Manufacturing in the future.

Speakers:

Professor Jörn Mehnen  
Professor at the Department of Design, Manufacture and Engineering Management (DMEM) - University of Strathclyde

Dr. Daniela Sawyer
Senior Theme Lead for Automation at the University of Sheffield AMRC
Topic:  Robotics and AI in Industrial Automation

Professor Robert Kay
Professor in Advanced Manufacturing at the University of Leeds
Topic:  Autonomous Manufacturing of Robotic Systems

Design and Manufacturing
Manufacturing

1

Continuing Professional Development

This event can contribute towards your Continuing Professional Development (CPD) hours as part of the IET's CPD monitoring scheme.

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21 Nov 2024 

12:00pm - 1:30pm

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Organiser

  • Manufacturing TN

Speakers

Professor Jorn Mehnan

Professor at the Department of Design, Manufacture and Engineering Management (DMEM) - University of Strathclyde

Jorn Mehnan is a Professor at the Department of Design, Manufacture and Engineering Management (DMEM) at the University of Strathclyde since 2017. I am interested in Industry 4.0/5.0 from a scientific, technical, and applied point of view. I am applying my digital manufacturing and analytics expertise in competitively funded projects that are concerning e.g. the UK national health with the NHS, smart cobotics in the Made Smarter Centre, AI and IIoT for industry, and manufacturing for more sustainable environments.

Dr Daniela Sawyer

Senior Theme Lead for Automation - University of Sheffield AMRC

Dr. Daniela Sawyer is a seasoned expert in automation and robotics, currently serving as the Senior Theme Lead for Automation at the University of Sheffield AMRC. Her research focuses on robotic machining, accurate robotics, and dynamics. Since joining the AMRC in 2017, Daniela has successfully led projects for renowned manufacturers across various industries, leveraging both conventional and non-conventional manufacturing techniques. She has collaborated with organizations like ATI and EPSRC to advance research in accurate robotics, robotic machining, and the application of AI and data science in robotics.

 

Professor Robert Kay

Professor in Advanced Manufacturing - University of Leeds

Robert Kay is a Professor in Advanced Manufacturing at the University of Leeds. He obtained an honours degree in Electrical & Electronic Engineering and a Ph.D in Microsystems Engineering from Heriot-Watt University. Robert has been involved in manufacturing processes research both in academia and industry since 2001. His research involves using digital fabrication techniques such as 3D Printing to produce functional devices and products. Robert’s current research application areas include hybrid additive manufacturing of robotic systems, electronic devices, technical ceramics, and medical devices.

Reasons to attend

CPD

Experts speaker

Insight to academic research

Programme

Professor Jörn Mehnen 
Professor at the Department of Design, Manufacture and Engineering Management (DMEM) - University of Strathclyde

Dr. Daniela Sawyer
Senior Theme Lead for Automation at the University of Sheffield AMRC
Topic:  Robotics and AI in Industrial Automation

Professor Robert Kay
Professor in Advanced Manufacturing at the University of Leeds
Topic:  Autonomous Manufacturing of Robotic Systems

Abstract

Miniature robots integrate actuators, sensors, and microprocessors within compact, centimetre-scale structures, offering diverse applications in areas like infrastructure inspection and search and rescue when deployed in swarms. Traditionally, these robots are assembled manually with fasteners and wiring, which imposes design constraints and limits miniaturisation. This research presents a method for automated assembly of miniature robots using a single machine that combines multi-material 3D printing with various ancillary tools, such as grippers, clamps, and screw delivery systems, eliminating the need for operator intervention. By employing an intelligent tool-changing mechanism, the machine minimises its footprint while maintaining a 250 x 200 mm build area, enabling inactive tools to be efficiently stored when not in use. This setup allows complex assembly tasks through repositionable grippers and out-of-sequence manufacturing, demonstrated here in the production of a miniature pipe inspection robot with a precision of 0.2 mm.

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Registration

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Free of charge