Machining system evaluation
Towards a standardized methodology for machiningtests and on-machine measurements
Time: Wed 2026-06-03 09.00
Location: F3 (Flodis), Lindstedtsvägen 26 & 28, Stockholm
Language: English
Subject area: Production Engineering
Doctoral student: Vilhelm Söderberg , Tillverknings- och mätsystem
Opponent: Adjunct Professor Rachid M'saoubi, Lund University
Supervisor: Professor Andreas Archenti, Design and Management of Manufacturing Systems, DMMS, Tillverknings- och mätsystem; Dr Robert Tomkowski, Produktionsutveckling
Abstract
The automotive industry is undergoing a major transformation driven by the introduction of new products and powertrain technologies. Although these products are largely expected to be industrialized within existing production systems, there is limited understanding of how such changes affect system performance. Consequently, industry lacks effective tools and methods to manage the transition required to meet future manufacturing demands, particularly in established high‑volume production environments optimized for stable product portfolios.
Against this background, the first part of this thesis analyzes likely scenarios for next‑generation automotive products and their implications for production systems. The analysis identifies two key industrial needs: (1) increased requirements for geometric product quality, and (2) enhanced production system capability to handle a more diverse and rapidly changing product portfolio, i.e., improved system flexibility. These needs must be addressed while maintaining cost efficiency and operational robustness.
To meet these challenges, the thesis proposes two complementary methods for machining system evaluation, using five‑axis milling of ferrous materials as a demonstrator process due to its industrial relevance. The methods are derived from two perspectives. The first is a tactical perspective, enabling standardized and comparable evaluation method of machining system through machining tests on a purpose‑designed test piece. The second is an operational perspective, aimed at continuous monitoring and verification of the machining system process state to ensure stable production outcomes and increased productivity. This is realized through surface characterization using a CCD microscope, enabling On‑Machine Surface Metrology (OMSM).
The proposed methods are not intended to replace established industrial practices, but to complement them. Together, they support data‑driven decision‑making in both system development and daily production, contributing to a more predictable and robust industrialization of future products and technologies