Virtual Modeling in Tractor Design: A Case Study of New Holland
Technology Category
- Sensors - Flow Meters
- Sensors - Liquid Detection Sensors
Applicable Industries
- Electrical Grids
- Packaging
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Experimentation Automation
- Intelligent Packaging
Services
- System Integration
- Testing & Certification
About The Customer
CNH Case New Holland is a global leader in the agricultural and construction equipment businesses. With facilities located on every continent, CNH has a worldwide presence and a vast network of 10,800 dealers in 160 countries. The company has been supporting the agricultural industry since the mid-1800s, providing a range of products and solutions to meet the diverse needs of its customers. The company's commitment to innovation and technology is evident in its approach to tractor design, where it leverages advanced flow modeling software to optimize the design and performance of its products.
The Challenge
Large tractors require complex cooling systems that consist of five separate modules. Each cooling module is dedicated to one of the engine’s five different fluid systems, includes its own heat exchanger, and is additionally cooled by the main engine fan. The primary goal of the tractor is to support itself and the added extra load of any attachments it has, such as a mower or a plow. This necessitates a design effort that focuses on maximizing engine power output and efficiency of the cooling package, while also optimizing the locations of all the components within the engine compartment to provide enough air to both the engine and the cooling system modules. For CNH, this design process often only included an in-depth analysis of the individual components, for example, each of the cooling modules. There was no simple way to include the effect of component layout within the engine compartment and the distribution of airflow to each module over the entire system. The alternative used by CNH, though expensive and time-consuming, was to develop and test several prototypes to balance cooling with space requirements.
The Solution
CNH used flow modeling software, ANSYS Fluent and ANSYS TGrid, to simulate the flow of air in and around engine compartment components, allowing the entire system to be examined at once, as opposed to the previous piece-by-piece approach. This analysis enabled CNH to analyze the overall cooling system and its capacity, minimize power used by the cooling system, and optimize the cooling module position. By using flow modeling tools, CNH was able to eliminate the fabrication and testing of multiple costly prototypes, define the best prototype as predicted by ANSYS Fluent software with very good agreement between experimental measurements and computer-simulated values, reduce the amount of power drawn by the cooling system compared to the initial design, and meet all cooling module thermal and packaging requirements.
Operational Impact
Quantitative Benefit
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