Advanced product and process engineering

Improved industrial processes through more precise controls

The cry is out for changes to industrial processes, making them cheaper and safer. Process control is an enabling technology that plays a critical role in automatic and cost-effective operation of today’s industrial processes and the development of new products.

The design of improved or new industrial processes is aided by new analytical and mathematical tools that simulate the behavior of these products and processes to identify optimum and dangerous operating regimes. Designing smart manufacturing processes has significant economic and social benefits. Controlled architecture emulsions and nanoparticle dispersions also provide the tools for the next generation of highly functional products and formulations for consumer goods and drug delivery.

Researchers at the UNSW School of Chemical Engineering are looking at the development of new control theories that aim to deliver robust and fault tolerant controls systems. They are confident that they can provide improved industrial processes in industries such as waste water treatment, aluminium smelting and coal processing.

  

Professor Jie Bao and Michael Tippet working on a model predictive control approach



One group is clearing the way for better industrial processes through a networked/distributed control system that offers better scalability, robustness and overall control performance.

Academic and research staff in this field

Jie Bao
Robert Burford
PJ Cullen 
Robert Driscoll
Francisco Trujillo 

Related research group

Process Control Group

Food Science and Technology group

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