Bibliographic record
Abstract
Principles of Chemical Engineering Processes: Material and Energy Balances continues to serve an essential text, guiding students on the basic principles and calculation techniques used in the field of chemical engineering and providing a solid understanding of the fundamentals of the application of material and energy balances. This third edition has been updated to reflect advances in the field and feedback from professors and students. Packed with illustrative examples and case studies, this book: • Features learning objectives and homework problems in every chapter, new material on software modeling, and additional and enhanced solved examples and problems. • Discusses problems in material and energy balances related to chemical reactors and explains the concepts of dimensions, units, psychrometry, steam properties, and conservation of mass and energy. • Demonstrates how Python, MATLAB®, and Simulink® can be used to solve complicated problems of material and energy balances, and now features an introduction to the basics of building Simulink models. • Demonstrates how Python and its libraries, such as NumPy and SciPy, can be used to solve complex problems in material and energy balances, and introduces the basics of building models using Python frameworks similar to Simulink. • Shows how to solve steady-state and transient mass and energy balance problems involving multiple-unit processes and recycle, bypass, and purge streams. • Develops quantitative problem-solving skills, specifically the ability to think quantitatively (including numbers and units), the ability to translate words into diagrams and mathematical expressions, the ability to use common sense to interpret vague and ambiguous language in problem statements, and the ability to make judicious use of approximations and reasonable assumptions to simplify problems. • Offers educational software and sample tutorials and quizzes for download. Aimed at both chemical engineering students and professionals, this book helps readers understand how to calculate, manage, and apply the key ideas of material and energy use in chemical processes through real-world examples. Lecture slides and a solutions manual are available with qualifying course adoption.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.042 | 0.032 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".