Alexander Hasse

Full Professor

TU Chemnitz

Germany

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Professor Alexander Hasse is a Full Professor at TU Chemnitz in Germany. His research interests include multiaxial fatigue strength prediction, sustainable healthcare product design, and the investigation of compliant mechanisms. He has published extensively on topics such as neural networks for fatigue datasets, the influence of impact loads on shaft-hub connections, and augmented reality in robot programming.

Articles (14)

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2021

Collaborators (2)

Andreas Schubert

Prof. Dr. at Chemnitz University of Technology

Chemnitz University of Technology

GERMANY

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Thomas Grund

GERMANY

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Alexander Hasse

Research Interests

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Articles (14)

Augmenting Fatigue Datasets for Improved Multiaxial Fatigue Strength Prediction with Neural Networks

Sustainable Healthcare Plastic Products: Application of the Transition Engineering Design Approach Yields a Novel Concept for Circularity and Sustainability

User Study to Validate the Performance of an Offline Robot Programming Method That Enables Robot-Independent Kinesthetic Instruction through the Use of Augmented Reality and Motion Capturing

Experimental and FE Investigation on the Influence of Impact Load on the Moment Transmission of Smooth Shaft–Hub Connections

Method to estimate the fatigue-strength scatter of shafts in the high-cycle and very-high-cycle fatigue regimes

Topology optimization of compliant mechanisms with distributed compliance (hinge-free compliant mechanisms) by using stiffness and adaptive volume constraints instead of stress constraints

Topology-optimization based design of multi-degree-of-freedom compliant mechanisms (mechanisms with multiple pseudo-mobility)

Investigating the Friction Behavior of Turn-Milled High Friction Surface Microstructures under Different Tribological Influence Factors

Accuracy and precision: A new view on kinematic assessment of solid-state hinges and compliant mechanisms

Benchmarking Newer Multiaxial Fatigue Strength Criteria on Data Sets of Various Sizes

Calculation method for the fail-safe design of steel-steel contacts subject to fretting fatigue based on a worst-case assumption

Design and control of actively prestressed compliant mechanisms for variable stiffness actuators

Generation of friction-increasing surfaces by turn-milling

An artificial intelligence–assisted design method for topology optimization without pre-optimized training data

Collaborators (2)

Andreas Schubert

Thomas Grund

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