Peter Hammersberg
Peter Hammersbergs is active in the researchgroup for Non destructive testing and his research interest is qualitative and quantitative methods for development of performance of materials, methods, products and processes in the interdisciplinary field between material, manufacturing and quality technology.
He has several years of practical experience of industrial quality development as certified Six Sigma Master Black Belt and conducted and supervised some 70 projects. These have generated annual savings of approximately 100 MSEK. Peter teaches courses in material engineering and the quality methodology Lean Six Sigma. He is also administrator of the master’s program in Materials Engineering.
Peter is also a senior lecturer at the Division of Quality Sciences at the Department of Technology Management and Economics.
Showing 35 publications
Predictive Modeling of Induction-Hardened Depth Based on the Barkhausen Noise Signal
How to facilitate improvements in public service systems: propositions for action
Surface integrity investigations for prediction of fatigue properties after machining of alloy 718
Case depth evaluation of induction-hardened camshaft by using magnetic Barkhausen noise (MBN) method
'All They Do Is Win': Lessons learned from use of a serious game for Circular Economy education
Modelling the Variation of Tensile Properties of High-Silicon Ductile Iron
Variation of Tensile Properties of High Silicon Ductile Iron
Study of Barkhausen Emission from the Surface Martensite Layer on Induction-hardened Carbon Steel
Factors influencing control charts usage of operational measures
Identifiering av kritiska parametrar vid myocardscinitgrafi med IQ-SPECT
Sustainable and resource efficient business performance measurement systems - The handbook
Balancing Productivity and Product Quality in Welding
The absence of variation in key performance indicators
Facilitating decision-making by choosing an NDT method based on information need
Data Driven Continuous Improvement by Six Sigma in Aircraft Industry
The Potential in Simulation and Metamodeling for the Understanding and Development of NDE
The Right Evaluation Method - an Enabler for Process Improvement
A Case Study on How to Remove Waste from Lean Six Sigma Projects at a Large-sized Company
The Potential in Simulations and Meta- Modelling for Understanding and Development of NDE
Proactive control of weld dimensions in robotised MAG welding
POD GENERATED BY MONTE CARLO SIMULATION USING A META-MODEL BASED ON THE simSUNDT SOFTWARE
Synthetic Non-Parametric POD for Large Defects
Selection of Evaluation Methods for New Weld Demands: Pitfalls and Possible Solutions
EMULATION OF POD CURVES FROM SYNTHETIC DATA OF PHASED ARRAY ULTRASOUND TESTING
The Influence of Correct Transfer of Weld Information on Production Cost
Weld quality improvements using parameter design approach
Variation in the hierarchy of welding production
Statistical evaluation of welding quality in production
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Showing 3 research projects
Predictive models and machine learning algorithms