What question did this study set out to answer?

The aim is to explore how Large Language Models can enhance the design process of fluid power systems in construction machinery.

February 21, 2026JFPS International Journal of Fluid Power System0 citationsOpen Access

Using Large Language Models for Fluid Power System Design

PKPetter KrusLinköping University

Key Points

The aim is to explore how Large Language Models can enhance the design process of fluid power systems in construction machinery.
Developed a methodology for transforming natural language inputs into formal architectural definitions.
Utilized micro-templates within prompts for consistency in outputs.
Performed evaluations of LLMs in the context of system design.
Demonstrated that LLMs can effectively interpret design requirements from natural language.
Improved repeatability and consistency in the design outputs of fluid power systems.

Abstract

The advent of Large Language Models (LLMs) has demonstrated considerable promise across various domains, including engineering system design, owing to their capabilities as few-shot or even single-shot learners. This paper investigates the integration of LLMs in the architectural design of fluid power systems for construction machinery. The primary contribution is the development of a methodology that transforms natural language inputs into formal architectural definitions, utilising micro-templates within prompts to enhance the repeatability and consistency of outputs.

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