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Abstract Computer‐Aided Chemical Engineering is reviewed from its beginnings in the 1950s to the present state in which virtually all chemical engineering is computer‐aided. Over 200 computer‐based computations routinely undertaken by chemical engineers are listed. Computer‐aids are used at every stage from deciding what chemical species to make, through the conceptual design of the processes, the detailed design, the on‐line control, optimization and retrofit design, up to the decommissioning. Computer‐aids are important for assessing and minimizing environmental impacts and hazards. This chapter does not discuss any of these topics in detail. It concentrates on the design of reliable software and the correct use of software supplied by third parties. Guidance is given for designing software that properly meets the technical requirements of the end users. The program structure and test procedures necessary to validate the software are described. Methods for ensuring that the program properly incorporates the physical models on which it is based are outlined including emphasis on dimensionally consistent programming. The importance of data validation is emphasized. It is further emphasized that these design guidelines apply equally to models written in special‐purpose modeling systems as they do to models written in general‐purpose computer‐programming languages. The elements of numerical analysis are introduced and illustrated with common examples from chemical engineering. Even simple computations, such as log–mean temperature difference, can be grossly in error if the numerical limitations of computers are ignored. Reliable, easily solved models should be near‐linear and explicit, and steps to achieve such models are included. The treatment is designed to be adequate for engineers writing small programs, or small parts of larger programs. References are introduced to enable professional engineering programmers to pursue the topics in greater depth. End‐users of chemical engineering software have responsibility for the decisions taken based on computed results. They must ensure that the software is adequate for its purpose, that all data is properly validated, and that the computed results are properly interpreted. They are also responsible for scoping the uncertainties in the computation and assessing their impact on the decisions taken. This chapter describes the steps that should be taken to ensure that computer aids are properly used and decisions are properly reached. It gives further reading for engineers likely to manage projects in which extensive use is made of computer tools. A brief introduction is given to some of the rapidly advancing areas of computer‐aided chemical engineering.

Chemical engineering graduates need to have problem-solving capabilities combined with experience in computer-aided modeling and simulation (CAMS). This need has been strongly emphasized by the chemical industry. CAMS provides tools to help students conceptualized problems, explore the influence of relevant parameters, and test fundamental engineering principles. The aim of our Course, Curriculum, and Laboratory Improvement project is to meld the problem-based learning pedagogy with CAMS to produce students with an in-depth understanding of the fundamentals of chemical engineering as well as the ability to use computer simulation packages effectively in the workplace. The approach used here is to integrate the use of CAMS throughout the entire chemical engineering curriculum. The Accreditation Board of Engineering and Technology's Engineering Criteria 2000 framework will be followed to evaluate the outcome of this project. This reform process will beneficially affect both Chemical Engineering teachers and students. Computer packages such as HYSYS, PRO/II, ASPEN Plus, POLYMATH, and Gaussian are employed in nine Chemical Engineering courses. POLYMATH is used in several undergraduate classes to permit students to obtain numerical solutions to problems that are difficult to solve analytically. For example, in Kinetics POLYMATH allows the students to calculate the effects of pressure drop and nonisothermal operation on the design of reactor. In Mass Transfer, HYSYS is utilized to simulate a flash vaporization and test the effects of pressure and preheating. Dynamics and control of a propylene glycol plant are analyzed by Process Control students using HYSYS, which has an integrated steady state and dynamic simulation environment. The dynamic performance of various control schemes is evaluated. In Process Design, a creative preliminary design for silane production utilizes CAMS packages including raw material requirements, energy requirements, list of major process equipment, and process economics. In addition, a computer-based problem-based learning (PBL) classroom with multiple white boards and virtual reality to maximize group learning is being developed. Finally, changes in the undergraduate Chemical Engineering curriculum at Lamar University are currently being implemented. These changes will enable the students to receive the maximum benefit of CAMS. Our progress to date will be outlined and will be discussed in terms of best practice pedagogy and cognitive science.

Precision fermentation is a promising food production technology that uses micro-organisms to produce specific proteins, fats, and vitamins, offering a more sustainable alternative to animal agriculture. This review explores recent advances in computer-aided chemical engineering research within precision fermentation, focusing on process systems engineering (PSE), process control, and artificial intelligence. PSE offers important process synthesis and process optimisation tools for fermentation, helping evaluate environmental impacts and economic feasibility during design. Advanced control strategies, such as soft sensors, can improve productivity and yield. Artificial intelligence methods, such as surrogate modelling, enable rapid experimentation, process optimisation, and scale-up, accelerating development. These advances pave the way for precision fermentation to play a greater role in the food production system of the future.

Mathematical Problems in Engineering is a peer-reviewed, open access journal that publishes results of rigorous engineering research carried out using mathematical tools. Contributions containing formulations or results related to applications are also encouraged. The primary aim of Mathematical Problems in Engineering is rapid publication and dissemination of important mathematical work which has relevance to engineering. All areas of engineering are within the scope of the journal. In particular, aerospace engineering, bioengineering, chemical engineering, computer engineering, electrical engineering, industrial engineering and manufacturing systems, and mechanical engineering are of interest. Mathematical work of interest includes, but is not limited to, ordinary and partial differential equations, stochastic processes, calculus of variations, and nonlinear analysis.

Abstract A series of computer simulations of industrial chemical engineering processes designed to be used as senior chemical engineering laboratory “experiments” are being developed. Each company sponsor has also produced a 20‐minute videotape of the process so that students may “tour” the facilities. Four modules have been completed. Two additional modules are currently being developed. The distribution of all materials will be handled by CACHE. Although the modules were designed for use in the senior chemical engineering laboratory course, schools report success in applying the modules in other chemical engineering courses.

Scientists may have found a powerful new way to hunt for alien life — not by searching for specific molecules, but by looking for hidden patterns in how those molecules are organized。 Researchers discovered that living systems leave behind a kind of chemical “fingerprint” in the statistical distribution of amino acids and fatty acids, one that cons

"Applied Mechanics and Materials" is a peer-reviewed journal which specializes in the publication of proceedings of international scientific conferences, workshops and symposia as well as special volumes on topics of contemporary interest in all areas which are related to: 1) Research and design of mechanical systems, machines and mechanisms; 2) Materials engineering and technologies for manufacturing and processing; 3) Systems of automation and control in the areas of industrial production; 4) Advanced branches of mechanical engineering such as mechatronics, computer engineering and robotics. Applied Mechanics and Materials" publishes only complete volumes on given topics, proceedings and complete special topic volumes. Authors retain the right to publish an extended, significantly updated version in another periodical. All published materials are archived with PORTICO and CLOCKSS. Presented, Distributed and Abstracted/Indexed in: Inspec (IET, Institution of Engineering Technology) www.theiet.org. Chemical Abstracts Service (CAS) www.cas.org. Google Scholar scholar.google.com. NASA Astrophysics Data System (ADS) http://www.adsabs.harvard.edu/. Cambridge Scientific Abstracts (CSA) www.csa.com. ProQuest www.proquest.com. Ulrichsweb www.proquest.com/products-services/Ulrichsweb.html. EBSCOhost Research Databases www.ebscohost.com/. Zetoc zetoc.jisc.ac.uk. Index Copernicus Journals Master List www.indexcopernicus.com. WorldCat (OCLC) www.worldcat.org.

Scientists may have found a smarter, safer way to wipe out termites hiding inside homes。 A chemical called bistrifluron prevents drywood termites from forming new exoskeletons during molting, killing entire colonies from within。 In tests, it eliminated about 95% of termites while avoiding the toxic side effects of traditional fumigation

Perspective. The use of a mathematical model on a computer to simulate a chemical process is now approximately two decades old. The field, which has been referred to as steady state chemical process simulation, flowsheeting or computer aided chemical process design to emphasize various shadings and meanings has had a major impact on moving chemical process design from essentially an art form of the 1950's to an accepted engineering science today.

Research in Engineering Education has led to the development and dissemination of a number of different instructional strategies (such as active learning, problem based learning, and concept tests) contributing to greater student learning in the classroom. However, there is little research to demonstrate how Research Based Instructional Strategies (RBIS) are being propagated from the developers to engineering faculty for use in the classroom. To examine the process of dissemination, this study uses Rogers' Diffusion of Innovation framework, which has traditionally been used to examine the dissemination of technological innovations through a population or organization. Rogers discusses five stages (knowledge, persuasion, decision, implementation, and confirmation) of the innovation-decision process to explain how adopters make a decision about an innovation. To investigate faculty members' participation in the innovation-decision process, we conducted a survey of electrical, computer, and chemical engineering faculty (n = 221) teaching engineering sciences courses. The results show that ECE and ChE faculty members are located at a variety of stages throughout the innovation-decision process. However, most respondents have progressed past the knowledge phase; they are aware of the different RBIS. It is important to account for this when presenting an innovation or trying to encourage adoption of new practices, such as RBIS. It was found that workshops and presentations can influence the trial and use of RBIS when faculty are at the persuasion and decision stages. Also, women are more likely to try and use an RBIS than men. Many of the results found here are consistent with those found in a similar study done in physics education.

A mathematical model and a computer model were developed for the multistage chemical and energy engineering process of roasting of phosphorite pellets, which includes the reactions of dissociation of carbonates and the processes of sintering in a moving dense multilayer mass of phosphorite pellets in a complex chemical and energy engineering system—travelling grate machine. The adequacy of the developed mathematical model was tested. Computational experiments were performed to determine the roasting process parameters at various physicochemical characteristics of the phosphate feedstock and the external heattransfer gas flow.

Preface. Nomenclature. 1. Basic Concepts. 1.1 Modelling Fundamentals. 1.2 Formulation of Dynamic Models. 1.3 Chemical Kinetics. 2. Process Dynamics Fundamentals. 2.1 Signal and Process Dynamics. 2.2Time Constants. 2.3 Fundamentals of Automatic Control. 2.4 Numerical Aspects of Dynamic Behaviour. 3. Modelling of Stagewise Processes. 3.1 Introduction. 3.2 Stirred-Tank Reactors. 3.3 Stagewise Mass Transfer. 4. Differential Flow and Reaction Applications. 4.1 Introduction. 4.2 Diffusion and Heat Conduction. 4.3 Tubular Chemical Reactors. 4.4 Differential Mass Transfer. 4.5 Heat Transfer Applications. 4.6 Difference Formulae for Partial Differential Equations. 4.7 References Cited in Chapters 1 to 4. 4.8 Additional Books Recommended. 5. Simulation Tools and Examples of Chemical Engineering Processes. 5.1 Simulation Tools. 5.2 Batch Reactor Examples. 5.3 Continuous Tank Reactor Examples. 5.4 Tubular Reactor Examples. 5.5 Semi-Continuous Reactor Examples. 5.6 Mixing-Model Examples. 5.7 Tank Flow Examples. 5.8 Process Control Examples. 5.9 Mass Transfer Process Examples. 5.10 Distillation Process Examples. 5.11 Heat Transfer Examples. 5.12 Diffusion Process Examples. 5.13 Biological Reaction Examples. 5.14 Environmental Examples. Appendix. 1. A Short Guide to MADONNA. 2. Screenshot Guide to BERKELEY-MADONNA. 3. List of Simulation Examples. Subject Index.

Abstract Computer simulation of a chemical plant can provide students with a different learning environment, where they can investigate and understand the plant by changing the values of variables and observing responses. The Amoco Computer Simulation Model is a computer‐based simulation of the Amoco Resid Hydrotreater that has been used as the final assignment for the chemical engineering design course taken by third year students at the University of Canterbury. This project allowed students to further develop their problem solving skills, implementing some of the techniques taught earlier in the course. Students investigated the chemical process by gathering data, performing data analysis and validating their results on the pilot plant. A control strategy was developed and tested to simulate the start up of a single reactor, controlling the operating conditions manually to reach steady state, and then ceasing control of the system, noting time elapsed before automatic shut down after 40 hours. Another important aspect of the project was that students worked together in groups of three, which the majority of students enjoyed. A questionnaire administered at the end of the course measured student responses to this learning experience. Tests, before and after using the simulation, assessed the learning outcome, and showed a significant improvement.

Abstract Interactive computer modules have been developed for four of the core courses in the Chemical Engineering curriculum: Introduction to Chemical Engineering, Fluids/Transport, Separations, and Kinetics. These modules generally consist of a review of the material, followed by an interactive problem‐solving session, which may include a computer simulation of the processes involved. The problem is often presented as part of a scenario, to capture the student's interest, and hints are available to guide the student. This study examines the components of these modules, as well as considerations that educators should take into account when developing interactive computer modules.

While various software packages have become quite useful for performing unit operations and other kinds of processes in chemical engineering, the fundamental theory and methods of calculation must also be understood in order to effectively test the validity of these packages and verify the results. Computer Methods in Chemical Engineering presents