Description
As a master thesis intern at Hitachi Energy, you will support our development team in setting up a Finite Element automation that enables rapid assessment of base material, bolted connections, and weld seams in electrical equipment subjected to random vibrations. The aim for the creation of this automation is to enhance efficiency, accuracy, and early identification of design weaknesses during production or operational phases.
Your Responsibilities
Witnessing vibration tests using shaker tables to assess electrical equipment behavior under random loads
Implementing statistical methodologies for fatigue assessment of base materials, weld seams, and bolted connections
Collaborating with experts to identify design weaknesses early in production or operational phases
Exploring automation techniques to enhance efficiency in fatigue assessment processes
Your Background
Familiarity with structural dynamics and how structures respond to random and shock loads
Knowledge of statistical methodologies for assessing fatigue life in materials and connections
Experience with software tools such as ANSYS Workbench, nCode DesignLife, and Python scripting
Strong problem-solving abilities, attention to detail, and effective communication skills
Fluency in English and Italian
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