Power functions for statistical control rules.

1979 ◽  
Vol 25 (6) ◽  
pp. 863-869 ◽  
Author(s):  
J O Westgard ◽  
T Groth
Keyword(s):  
Computer Simulation ◽  
Control Systems ◽  
Simulation Program ◽  
Statistical Control ◽  
Power Functions ◽  
Control Rules ◽  
Computer Simulation Program ◽  
The Relationship ◽  
Analytical Errors ◽  
Selection Of

Abstract We have studied power functions for several control rules by use of a computer simulation program. These power functions show the relationship between the probability for rejection and the size of the analytical errors that are to be detected. They allow some assessment of the quality available from present statistical control systems and provide some guidance in the selection of control rules and numbers of control observations when new control systems are designed.

Modeling of multi-electrolyte transport in charged ceramic and organic nanofilters using the computer simulation program NanoFlux

Desalination ◽  
2002 ◽  
Vol 147 (1-3) ◽  
pp. 231-236 ◽  
Author(s):  
J. Palmeri ◽  
J. Sandeaux ◽  
R. Sandeaux ◽  
X. Lefebvre ◽  
P. David ◽  
...  
Keyword(s):  
Computer Simulation ◽  
Electrolyte Transport ◽  
Simulation Program ◽  
Computer Simulation Program

Effect of Cutter Performance on Finished Tooth Form in Gear Shaving

1992 ◽  
Author(s):  
I. Moriwaki ◽  
M. Fujita
Keyword(s):  
Computer Simulation ◽  
Mean Value ◽  
Cutting Performance ◽  
Simulation Program ◽  
Tooth Surface ◽  
Depth Of Cut ◽  
Small Depth ◽  
Computer Simulation Program ◽  
Tooth Form ◽  
Cutting Model

Abstract The authors have been developed a computer simulation program of gear shaving. In the present paper, a new cutting model of shaving process is proposed so as to incorporate an effect of a cutting performance of shaving cutter into the simulation program. In this cutting model, it is assumed that a tooth flank material of work gear can be removed only when a depth of cut of a cutting edge exceeds a certain criterion. It is also assumed that the criterion have no definite value but has the nominal distribution over the tooth surface. The mean value of the distribution can define a characteristic of cutting performance of shaving cutter. The small mean value means that even small depth of cut can cause a stock removal; i.e. a good cutter performance. The computer simulations on gear shaving are performed to reveal the effect of the cutter performance on shaved tooth form. Under the conditions used in these simulations, the pressure angle error on the shaved tooth profile becomes remarkable as the cutter performance becomes worse. Thus, the developed computer simulation program of gear shaving has a reliability on the prediction of shaved tooth form. It will be useful for design of shaving cutter, judgement of tool life, and so on.

The Use of Computer Simulation of Merged Variation to Predict Rework Levels on Ship's Hull Blocks

1988 ◽  
Vol 4 (03) ◽  
pp. 155-168
Author(s):  
R.L. Storch ◽  
P.J. Giesy
Keyword(s):  
Computer Simulation ◽  
Probability Distribution ◽  
Subsequent Development ◽  
Simulation Method ◽  
Simulation Program ◽  
Modular Construction ◽  
Accuracy Control ◽  
Probability Curve ◽  
Productivity Losses ◽  
Computer Simulation Program

In the modular construction of ships, significant productivity losses can occur during the erection stage, when the modules, or hull blocks, are joined together. Frequently, adjacent blocks do not fit together properly, and rework of one or both of the mating block interfaces is necessary to correct the problem. The specific cause of rework is the variation of plate edges at the block interface, which is itself a cumulative product of numerous manufacturing variations inherent in hull block construction. Variation in manufacturing is unavoidable, but not uncontrollable. The application of accuracy control techniques in shipbuilding has proven that a statistical analysis of variation makes possible an accurate prediction of its effects. This paper presents an examination of block interface variation, and the subsequent development of a computer simulation method of predicting rework levels on those blocks. The complex interaction of all the edges' random variations at the block interface gives rise to a unique rework probability distribution. This probability distribution is evaluated by means of the computer simulation program, which provides estimates of the average rework anticipated, the shape of the probability curve, and other parameters. Similar predictions are also available for cost and labor of required rework. In addition to predicting rework levels, the simulation program can be a useful tool for reducing those levels.

Sign in / Sign up

Export Citation Format

Share Document