Design of a good manufacturing process requires much more understanding and information than is provided in a typical laboratory process description. This chapter outlines the scope of the data requirements and the understanding of the science required to support adequate design of optimised laboratory and manufacturing processes. The amount and nature of the information required depends strongly on the complexity of the process, and an approach to identifying critical data is described. Numerous examples are provided of the application of the acquired data to the optimisation of laboratory processes and to scale up
[EN] In the chemical industry, a laboratory work requires adapting to new techniques of analysis, ne...
Traditional chemical engineering practice considers the synthesis of a process design and its contro...
In the process industries there is a growing demand for an improvement of process design in order to...
Key constraints in process innovation are the time and cost spent obtaining data to identify and ver...
Producción CientíficaThe term design of experiments in analytical chemistry is associated to the est...
We present a methodology and computer-based process design decision support system (PDDSS) that crit...
One of the most important objective in this text describes the strategies and approaches for the des...
Fine chemical processes involve very different types of reactions. They are run in a continuous or b...
Huge amounts of data are routinely logged and stored during the monitoring of biotechnological produ...
Abstract: "Process engineering is the application of systems concepts to the design and operation of...
The following process synthesis problem is considered: "Let M, R, PR be the set of raw materials, re...
This paper reviews developments in the first decade since the introduction of chemical product desig...
The Handling of Chemical Data deals with how measurements, such as those arrived at from chemical ex...
International audienceMicroelectronics, like other modern industries engages measures to improve the...
Content: For sustainable developments the chemical industry is continuously looking for technical in...
[EN] In the chemical industry, a laboratory work requires adapting to new techniques of analysis, ne...
Traditional chemical engineering practice considers the synthesis of a process design and its contro...
In the process industries there is a growing demand for an improvement of process design in order to...
Key constraints in process innovation are the time and cost spent obtaining data to identify and ver...
Producción CientíficaThe term design of experiments in analytical chemistry is associated to the est...
We present a methodology and computer-based process design decision support system (PDDSS) that crit...
One of the most important objective in this text describes the strategies and approaches for the des...
Fine chemical processes involve very different types of reactions. They are run in a continuous or b...
Huge amounts of data are routinely logged and stored during the monitoring of biotechnological produ...
Abstract: "Process engineering is the application of systems concepts to the design and operation of...
The following process synthesis problem is considered: "Let M, R, PR be the set of raw materials, re...
This paper reviews developments in the first decade since the introduction of chemical product desig...
The Handling of Chemical Data deals with how measurements, such as those arrived at from chemical ex...
International audienceMicroelectronics, like other modern industries engages measures to improve the...
Content: For sustainable developments the chemical industry is continuously looking for technical in...
[EN] In the chemical industry, a laboratory work requires adapting to new techniques of analysis, ne...
Traditional chemical engineering practice considers the synthesis of a process design and its contro...
In the process industries there is a growing demand for an improvement of process design in order to...