Emerging developments in manufacturing from academia
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.
Hear from leading academics on:
Academic Topics on Emerging Developments in Manufacturing
Autonomous Manufacturing of Robotic Systems
Robotics and AI in Industrial Automation
1
Continuing Professional Development
This event can contribute towards your Continuing Professional Development (CPD) hours as part of the IET's CPD monitoring scheme.
21 Nov 2024
12:00pm - 1:30pm
Organiser
- Manufacturing TN
Speakers
Professor Jörn Mehnen
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, Dr.-Ing. habil. Dipl.-Inform, University of Strathclyde
Title: Academic Topics on Emerging Developments in Manufacturing
The first part of the presentation covers selected technical advances. Under the title Continued Rise of Smart Factories, latest advances in Additive Manufacturing, as well as Internet of Things, EdgeAI, AR/VR/MR, and Virtual Processes are briefly discussed.
The second topic addresses pressing issues due to the Decreased Labour Force. Here, the presentation talks about Artificial Intelligence, Cobots, and Drones.
The third and final part of the presentations discusses aspects for the Symbiosis between Humans and Technology. This part covers challenges with regards to ethics, new regulations, and current academic activities in this field.
The presentation will finish with a brief open forum discussion.
Professor Robert Kay, Professor in Advanced Manufacturing at the University of Leeds
Title: Autonomous Manufacturing of Robotic Systems
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.
Dr. Daniela Sawyer, Senior Theme Lead for Automation, University of Sheffield AMRC
Title: Robotics and AI in Industrial Automation