# Multi-objective simulation optimization of the adhesive bonding process of materials

arXiv: https://arxiv.org/abs/2112.06769 · HTML: https://mlsanity.com/paper/2112.06769/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 4 references that are in the map.
- First posted on arXiv 9 Dec 2021.

## Abstract (arXiv)

Automotive companies are increasingly looking for ways to make their products lighter, using novel materials and novel bonding processes to join these materials together. Finding the optimal process parameters for such adhesive bonding process is challenging. In this research, we successfully applied Bayesian optimization using Gaussian Process Regression and Logistic Regression, to efficiently (i.e., requiring few experiments) guide the design of experiments to the Pareto-optimal process parameter settings.