Research infrastructure

Digital Design and Manufacturing (D2M)

Tampere University

Faculty of Engineering and Natural Sciences

Automation Technology and Mechanical Engineering

Hervanta Campus

Korkeakoulunkatu 6, Tampere

Tampere

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https://www.tuni.fi/en/research/digital-design-and-manufacturing-d2m

Research Background

Increases in efficiency by digital technologies reduce energy and materials usage and environmental footprint. Industrial manufacturing is responsible for 54% of the world's energy consumption and 20% of global CO2 emissions. The future of sustainable production requires that material systems, manufacturing processes, and design engineering are better connected, intelligent, and tailored to the application.

A promising solution to sustainability lies at the interfaces between material sciences, digital manufacturing technologies, and advanced engineering design methods. The scientific objective of D2M lab is to develop open manufacturing mechatronic systems, simulation and modeling frameworks, computer-aided expert systems, and software solutions for the multi-disciplinary optimization of Process – Structure – Property – Performance (PSPP) linkages in design to manufacturing engineering workflows.

Research Lab Profile and Projects

Pillar 1 – Twin-transition in Engineering Design and Manufacturing processes:

- Optimization-driven design and manufacturing. Physics-based forward simulation using computational mechanics (e.g., FEA multiscale simulation, topology optimization, and generative design) and data-driven engineering (e.g., DOEs, ML/AI, surrogate models…).

- Manufacturing process parameter optimization and predictive modeling. Product and process design and manufacturing “Fingerprints,” quality, statistical process control, in-situ process monitoring, and control.

- Sustainable manufacturing. (e.g., LCA, Intelligent manufacturing, Zero-waste manufacturing, Industrial IoT, data engineering, sensor technologies, …).

Pillar 2 – Open D2M systems:

- Development of open D2M systems for research. Open additive and hybrid manufacturing systems, including in-situ process monitoring systems generative design.

- Process-Structure-Property-Performance (PSPP). Materials: Polymers, composites, and metals with applications related to architected hierarchical structures, smart materials, functional materials, electrification, high-performance materials, and multi-material systems.