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/ Validation of Multibodies Hair-Cutting Models Using Real Hair Experiments (Candidate in process) - Philips - Drachten - college, wo - <6 months mechanical engineering mechanical engineering Introduction Philips Drachten plays an important role in driving innovation in the Personal Health industry. With over 2000 employees from over 35 different nationalities, Philips Drachten is a global hub for consumer product innovation, employing experts who design products with outstanding end-user experience. Problem Description Understanding and predicting the physical behavior of hair interacting with (rotary) cutting systems (e.g., electric shavers, trimmers) is essential to improve cutting performance, comfort, and reliability. This assignment focuses on simulating hair cutting using multibody dynamics and comparing simulated behavior with experimental measurements from real cutting systems. Relevance Validating and improving hair-cutting models against real-hair experiments is crucial for both product performance and engineering science. High-fidelity validation minimizes reliance on expensive and time-consuming physical prototyping by boosting confidence in simulation-driven design decisions for rotary cutting systems (e.g., shavers, trimmers). Traditional validation methods-manual model parameter tuning and ad-hoc comparisons-are slow and may fail to detect systematic errors stemming from contact, friction, or cutting physics. A robust, data-driven validation workflow (paired experiments and simulations, quantitative metrics, and sensitivity analysis) facilitates automated, repeatable assessment of model accuracy and highlights which physical assumptions or parameters contribute to the largest discrepancies. Aimed output - Validate the existing haircutting model against real-hair experiments. - Collect, preprocess, and store experimental and simulation data in analysis-ready formats. - Run sensitivity and simple cal...
How to apply
CV with attached letter,Online application form,Telephone
Contact: Hilbrand Wijbenga | Tel: +31402791111 | Email:
