02780nam 2200601Ia 450 991101985070332120200520144314.09786611766740978128176674812817667479780470378069047037806997804703780520470378050(CKB)1000000000539713(EBL)362076(OCoLC)476191640(SSID)ssj0000228155(PQKBManifestationID)11173793(PQKBTitleCode)TC0000228155(PQKBWorkID)10148505(PQKB)10354930(MiAaPQ)EBC362076(Perlego)2773341(EXLCZ)99100000000053971320080509d2008 uy 0engur|n|---|||||txtccrProcess engineering problem solving avoiding "the problem went away, but it came back" syndrome /Joe M. BonemHoboken, NJ John Wiley20081 online resource (297 p.)Includes index.9780470169285 0470169281 PROCESS ENGINEERING PROBLEM SOLVING; CONTENTS; Preface; 1 Initial Considerations; 2 Limitations to Plant Problem Solving; 3 Successful Plant Problem Solving; 4 Examples of Plant Problem Solving; 5 Development of Working Hypotheses; 6 Application to Prime Movers; 7 Application to Plate Processes; 8 Application to Kinetically Limited Processes; 9 Application to Unsteady State; 10 Verification of Process Instrumentation Data; 11 Successful Plant Tests; 12 Utilization of Manual Computation Techniques; 13 Putting It Altogether; 14 A Final Note; IndexAvoid wasting time and money on recurring plant process problems by applying the practical, five-step solution in Process Engineering Problem Solving: Avoiding ""The Problem Went Away, but it Came Back"" Syndrome. Combine cause and effect problem solving with the formulation of theoretically correct working hypotheses and find a structural and pragmatic way to solve real-world issues that tend to be chronic or that require an engineering analysis. Utilize the fundamentals of chemical engineering to develop technically correct working hypotheses that are key to successful problem solvingEngineering mathematicsMathematical analysisEngineering mathematics.Mathematical analysis.660.281670.42Bonem Joe M946991MiAaPQMiAaPQMiAaPQBOOK9911019850703321Process engineering problem solving4419955UNINA