White Papers

Optimization of Bonded UHMW for Improved Performance and Reduced Costs of Boats and Marine Structures
UHMW is well known for its toughness and slick surface — qualities that make it an ideal material for marine applications where contact abrasion is a problem. However, its “bolt-on” construction creates cost and reliability issues. Early attempts to bond this extremely slick material were unsuccessful. LinkTech’s OceaPoly® is a breakthrough technology that enables reliable bonding of UHMW.
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The Real Benefits of Choosing Superior Optimization Technology
Does it matter which optimization technology an engineering team chooses? The answer is unequivocally, yes. Choosing a superior optimization technology can reduce design cycle time, improve design performance, increase innovation, and support the efficient use of resources.
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How to Select the Right Optimization Method for Your Problem
The potential for delivering better designs, in less time compared to manual optimization makes automated design optimization attractive from both a technical and business standpoint. However, one barrier to widespread use of design optimization is difficulty selecting an appropriate optimization search algorithm for a given problem. This white paper describes the root of this issue and proposes a solution useful for a variety of optimization problems.
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Optimal Design of Medical Devices
The design of medical devices presents many challenges, including special requirements for innovative materials, rigorous dimensional tolerances, and uncompromising product safety and reliability. Automated design optimization tools provide the means to accelerate the design process while increasing the quality of the end result.
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SHERPA - An Efficient and Robust Optimization/Search Algorithm
One of the keys to a successful optimization study is the effectiveness of the search algorithm used. This paper provides brief answers to the following questions about optimization algorithms: What does it mean for an algorithm to be efficient and robust, and why is it important? How do various algorithms compare on these important characteristics? What makes the algorithm SHERPA so effective?
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