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Showing papers on "Process modeling published in 1978"


Journal ArticleDOI
TL;DR: This paper presents three alternative methods for generating predictions from survey-accessible phenomena which meet the requirements mentioned above and is applied to real data.
Abstract: Mass media research has been inhibited by the lack of process methodologies which do not require panel data. This paper presents three alternative methods for generating predictions from survey-accessible phenomena which meet the requirements mentioned above. These techniques are applied to real data. The relative presumptions and merits of each are assessed

4 citations


Journal ArticleDOI
TL;DR: Advanced methods for process control are characterized by more sophisticated, better adjusted control algorithms, forecasting of process variables, estimation of not direct measurable variables, computer aided design of algorithms and adaptive or selftuning algorithms.

3 citations


Journal ArticleDOI
TL;DR: A range of identification, estimation and control algorithms have been implemented and tested on a chemical process plant/process control computer system which is typical of installations in the process industries.

3 citations


Journal ArticleDOI
TL;DR: A detailed classification of massive forming processes is given and using impression die forging as an example, the significant process variables and their interactions are systematically discussed in this paper, which illustrates the application of the systems approach to modeling of forging, a massive forming process.
Abstract: This paper reviews the application of systems approach to massive forming processes. A detailed classification of massive forming processes is given and using impression die forging as an example, the significant process variables and their interactions are systematically discussed. The paper also gives an example in forging, which illustrates the application of the systems approach to modeling of forging, a massive forming process. Finally, the future potential, capabilities and shortcomings of process modeling are discussed and recommendations for future work are made. It is expected that the paper can be useful to the metalforming engineer, active in research or production, who is interested in systematic analysis and design of massive forming processes.

1 citations