Projects

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Emerging digital technologies and their applicability as picking support in materials handling

In material handling processes, such as kitting and sequencing, which are used in the automotive industry to supply the assembly with a wide and growing range of component variants, the picking information system is central design aspect. Given the developments in digitization, the purpose of this concept study is to evaluate the potential of digital technology to support materials handling work in production systems.

2017 – 2017

Enabling super quality electric steel through advanced use of data analytics in real time

The revolution of electrical vehicles has started and several of the major carmakers have declared that the goal will be met within the next 2-3 years. This cause increased needs for qualitative steels for electrification of vehicle pow er. Suppliers of electrical metals does not meet the needs for high quality input materials. The SuperSteel project will investigate how a project that combines know ledge capture and management, data management and advanced analytics from all actors in the supply chain can be implemented to realise the required product quality in a flexible production.

2017 – 2018

HJT-Hybrid Joining Test bed for smart production

Hybrid joints, combination of gluing and mechanical joining are highly demanded where several materials are to be used and assembled. HJT therefore focuses on the smart factory's ability to create flexible production with simulation and programming in a digital twin that combines the latest technology for bonding, assembly and mechanical joining, rheology based simulation and automated collision-free planning. The projects goal is to focus on the whole hybrid joining process and to establish a testbed for hybrid joining as a resource for Swedish Industry.

2017 – 2020

Non-poisonous substitute for hard chrome in volume applications

This project explores the possibility of replacing hard chrome coatings on steel in volume applications with the Swedish innovation, TiSurf, which is a hardened nitride surface on titanium with excellent chemical and mechanical resistance. The long-term objectives are a more sustainable and cost-effective production of environmentally friendly hybrid materials to replace cancerogenic chrome based hard coatings and to create new application opportunities and markets. Therefore, the objective of the project is to develop and evaluate possible processes for hardened nitride surface on titanium with respect to relevant material and mechanical properties, to investigate and verify its potential as a sustainable replacement material for hard chrome and in various applications, such as piston rods, axles and tubes.

2017 – 2018

Non-poisonous substitute for hard chrome in volume applications

Sustainable Metal Powder Utilization in Powder Bed Fusion Additive Manufacturing

This project intends to design and develop a new test methodology for evaluation of power flowability in powder bed fusion (PBF) systems. The test apparatus will simulate powder flow in PBF machines and can be used for optimizing the powder layering behavior for potential utilization of alternative powder qualities. Additionally, this equipment creates opportunities for both powder producers and AM part manufacturers to minimize powder waste and maximize material utilization..

2017 – 2018

Variation Prediction and Source Identification for Zero-defect Machining Line

In multi-stage machining, errors or variations in machined part features propagate downstream from process to process through the entire machining line. The objective of the project is to enable achieving a zero defect production by predicting and controlling variation and their propagation in multi-stage machining. This demands capturing the relations between variations and their sources in a multi stage machining. The project activities will be based on three industrial cases at Scania, LEAX AB, and GKN. The cases are meant to ground the already proven state of the art concepts in variation modelling, data analytics, measurement, precision pallet system, and simulation in real industrial applications. The application area of the project result covers manufacturability analysis, tolerance analysis, process planning as well as quality assurance strategies. The results and the demonstrations will be of interest to SME and large companies having multi stage machining.

2016 – 2018

Virtual PaintShop – Simulation of Oven Curing

The paintshop is often a bottleneck in production and the processes are fine-tuned based on testing on numerous prototypes. To meet the future demands there is a great need to improve the product preparation process. The aim is to develop methods, techniques and software, and supporting measurement methodology, for simulation of paint curing in IR and convective ovens. The goal is to assist the industry to further develop and optimize their surface treatment to be more energy and cost efficient; to have a shorter lead time in product development; and to give a higher product quality. The aim is that the commissioning time for the oven curing processes of new models is reduced by 25%. Furthermore, the environmental impact will be reduced since significantly less prototypes need to be physically tested, and the process optimization aims to reduce the energy requirement in the ovens by 10%. A more uniform curing will improve product quality, reduce thermal deformation and stresses, and also yield a better work environment.

2016 – 2019

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