Most chemical engineering curricula do not adequately address mixing as it is commonly practiced in the chemical process industries. This article attempts to fill in the gaps by explaining flow patterns, mixing techniques, and the turbulent,...

The global chemical industry is showing particularly strong growth outside North America. Understanding where opportunities exist — and which are worth taking — can help you decide whether it is time to take your career, and your life, on the road.

Decision-makers often require cost estimates for products and processes at the earliest stages of development — when many cost-determining factors remain uncertain. Identifying variables that impact cost estimates, and putting them in context, will...

A good performance evaluation can lead to a significant improvement in column performance and establish a basis for future tower evaluations. <br>

Employment negotiations begin even before a job offer is extended. Having a clear plan of action, and an understanding of your objectives and those of your employer, will help you make the most of this important process. <br>

Interesting technology ... interesting policy ... difficult economics ... numerous challenges ... <br>

This article demonstrates that the repair and expense costs of process trains are not proportional to their capital costs and that, in most cases, building one plant with a single process train is the most economically efficient choice. <br>...

Some emissions reports include data that are based on faulty assumptions and methodologies. This article presents an effective approach to auditing your emissions inventory to maximize the representativeness of the reports you submit. <br>

The people you identify as references in your job search act as your ambassadors to a potential employer. Choosing references who can paint a clear picture of your strengths and potential can be a decisive advantage in your employment campaign.

Save time and money by using this approach to fractional-factorial design of experiments (DOE) for studies involving six or seven variables. <br>