{"id":12298,"date":"2026-08-10T10:43:46","date_gmt":"2026-08-10T10:43:46","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-learn-design-and-simulation-of-chemical-plants-and-equipment-2023-11\/"},"modified":"2026-08-10T10:43:46","modified_gmt":"2026-08-10T10:43:46","slug":"udemy-learn-design-and-simulation-of-chemical-plants-and-equipment-2023-11","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-learn-design-and-simulation-of-chemical-plants-and-equipment-2023-11\/","title":{"rendered":"Udemy \u2013 Learn Design and Simulation of chemical plants and equipment 2023-11"},"content":{"rendered":"
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Descriptions<\/h2>\n

Learn Design and Simulation of chemical plants and equipment, This comprehensive course, presented by industry experts, is designed for both seasoned professionals and aspiring students in chemical engineering who wish to master the design and simulation of chemical plants and equipment. The curriculum covers the backbone of modern chemical engineering, emphasizing the importance of simulation for predicting and optimizing process behavior, minimizing risks, and improving efficiency. Learners will explore key concepts and methodologies, including phenomenological model-based and data-driven machine learning-based simulations, and gain hands-on experience with Aspen, a leading simulation software. The course guides participants through property analysis, flash drum, pump and pipeline, heat exchanger, and reactor simulations, as well as advanced topics such as plug flow reactors, batch reactors, and industrial reactor case studies. Special attention is given to distillation column simulation, with in-depth coverage of Aspen\u2019s DSTWU and Radfrac modules, and a comprehensive case study involving six distillation column simulations, including an industrial benzene column. Participants will also be introduced to simulation by machine learning, learning how to clean data, detect outliers, handle missing values, and develop and evaluate data-driven regression models. Practical case studies, such as bioreactors and soft sensors in distillation columns, demonstrate the real-world application of these techniques. By the end of the course, learners will have developed a deep understanding of the principles and techniques of design and simulation, gained practical experience with industry-standard tools, and acquired the ability to apply machine learning to solve real-world chemical engineering challenges. Join us to advance your professional journey and master the design and simulation of chemical engineering processes.<\/p>\n

What you\u2019ll learn<\/h3>\n