Process And Machine Control and Other Special Purpose Computers - O.K. Lindley
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Process and Machine Control and Other Special Purpose Computers



Sales Manager - Control and Simulation Applications

Industrial Computer Section

The United States will be 200 years old in 1976. It will have a population of somewhere around 216 millions. This population will demand twice the goods and services available today. The work force will be only about 30 per cent larger than it is today. This means that, using the same production tools and methods we use today, the nation would be able to produce only about 70 per cent of the goods and services in actual demand, or - think of it! - a shortage of 76 billion man hours of labor in 1976.

Three possible solutions loom before us. First, and 11 1/2 hour day, that is, a 57 hour week for workers. Second, recruiting more workers from among children, students, minor citizens, and housewives. Third, increase by invention the individual output of workers.

We have only to look at these three  choices to know the one we have to make. We have to apply more and better machines to do more and more of the work of the world. Then we have to apply machines to run machines. 

Some people get goose pimples when they contemplate this. The truth of the matter is that what is happening to us now is hardly more than a speeded-up continuation of a process that has been changing our methods of production for 160 years.

When you boil it down to simplicity, we mean that we are now able to harness power more efficiently than ever before. It means that we can offset with sheer ingenuity the shrinking of our work force in proportion to our population. As more machines run more machines, we can confidently look forward to 1976, sure that we have nothing to fear in terms of production - sure that the machine will shoulder still more of the ache and burden of exhausting toil.

Here and now we have to look at MECHANIZATION and AUTOMATION. Mechanization we already have to a high degree in certain industries. We begin to get nearer to true automation when we come to a machine like the Differential Analyzer which can present, immediately vital facts necessary to certain engineering decisions. Design and control problems on airplanes, for instance, can be analyzed by use of this kind of machine in such a way that one engineer can find answers to them as quickly as twelve engineers formerly.

We pass from that to true automation when a "brain" is introduced into a machine to check and control it from within itself. For example, a lathe is set to cut a certain bore. The bore it cuts is immediately checked for size by an automatic operation which brings a micrometer to the shaft. If the cut is not exact, an ad-



ditional cut is automatically made. This cut is again measured. The machine will not pass its own product until the product meets minutely exact specifications. This is, so to speak, "consciously self-controlled mechanical operation" and is true automation.

Once such a machine is set in operation, however, it cannot be stopped, in this sense: whatever model it turns out is fixed and increased production of like model results. We can forecast, therefore, on the bas is of increased production when, "true automation" comes, new production processes will produce new products.

Computers, which were a novelty and available only at high cost a short time ago, are now rapidly becoming practical and understandable tools of industry. Already they have proved their worth in

scientific and engineering circles. In accounting and record keeping they have been used mainly for routine work, but their use is being extended to detail data processing and inventory work. In addition, highly reliable computer components are being made available for process and production control in factories.

During the period of computer growth and development those who have known the story have been too busy to tell it effectively to industry. The computer component manufacturers have done only a partial job of merchandising their own products. It is not surprising therefore, to find that specialists in the fields of motors, vacuum tubes, toasters, television, power transformers, etc., are unfamiliar with the computer field and with the opportunities it has to offer.

Let us view more computer products. The more you see and hear of computers, the more adept you will be at applying this operational tool.

Original Network Analyzer - The first large computer built by General Electric for the power and light companies to aid in their long tedious calculations of power flow in their transmission lines. Today, 40 much improved versions are in use throughout the world for power systems studies and many common problems of vibrations and oscillating loads.

Matrix Rotator - A true knob twidler's paradise, the matrix rotator provides the Army with a highly mathematical computer to evaluate tests given to select Army personnel for the many jobs available.

Penalty Factor Computer - A large computer for solving problems in the economic generation and distribution of electric power. It assists the load dispatcher in the scheduling of power generation so that the cheapest unit to deliver power to a load will be used in preference to a nearer but more expensive unit to run.

Analog computers are useful, they save time and money and costly design errors. Let us see why the use of analog computers has spread so widely and examine the various types and their applications. The key to this examination is the basic problem solving process itself.



Consider the engineer about to start the design of a product involving dynamic relationships, such as a paper mill control, or a transformer, or a motor. He will have in mind the performance specifications of the device, and some background knowledge on how this sort of thing has been done In similar cases in the past. He will then seek methods to jiggle the variables at his disposal,

such as components to be used, mass, damping, voltage, current and so forth to obtain maximum results with minimum cost. The "jiggling" may be done in various ways, inc1uding cut-and-try methods, mathematical analysis and computations and the use of analog computers. Let us contrast these methods and their cost.

The Cut-and-Try method was popular in the days of craftsmanship. Several models of a design might have been built and tested and the best adopted for production. While this ma, still be possible with an electric toaster (though not economical), it is hardly feasible with a large alternator. Besides, there is no way of assuring an optimum design.

Mathematical analysis usually allows us to describe the performance of a device to be built in a way that is subject to numerical evaluation. Optimum designs may be derived and a systematic design procedure results. In many cases, however, the labor of evaluating the mathematical description numerically is prohibitive for hand calculation. Digital computers may be employed, and with their aid, this method of analysis becomes practical. The digital computer is extremely accurate and versatile for this purpose, although the labor of programming a problem may be considerable, and the "feel" for the physica1 problem may well be lost by the investigator. Also, as a generalization, the analog computer approach will require less capital equipment by a factor of ten or more. We can distinguish two methods for using these analog computers; first is the use of the computer to evaluate the equations numerically, taking advantage of the convenience, flexibility and speed 0f the analog computer. The second approach consists of direct realization of the problem from its physical description, without the intervening mathematical analysis. This is made possible by the direct analogies which may be drawn between physical arrangements, such as mass-spring systems, and their computer equivalents. When you delve a little into the various classes of analog computers, you will see the nature of this similarity, and the manner in which it allows specific or cut-and-try solutions on the computer model. The old method of cut-and-try has thus been made economical by eliminating the construction of a separate sample for each solution to the basic problems. Minimum cost solutions may then be arrived at, because changes can be made rapidly and at a very low cost per change.

Now let us look at analog computers as they apply to simulation. All of you, I am sure, recall the story of Aladdin and his wonderful magic lamp. When he rubbed the lamp, he released a Genie who did his every bidding. Today's modern engineer, Like Aladdin, also has a magic lamp - this time in the guise of a computing mechanism. When he rubs it properly, he can create for test purposes, unobtainable or non-existent equipment. Furthermore, he can test and revise his theories before any prototype equipment is designed, built, shipped, or installed.



Power Control Simulator Computer - a large special purpose computer for duplicating a jet engine for the testing of auxiliary control s . An add it ional tool in the development of controls for jet engines, the Simulator is designed to imitate an actual engine so that real engine controls for any engine can be connected directly to it. Both steady-state and transient operation are simulated for all altitudes and flight conditions.

The use of computers as a simulator is well known in the field of steel mill design and jet engine design. Some other applications are the simulation of hydro-electric installations consisting of prime movers, hydraulic transmissions, and generators. Simulators have also been built in the field of electric motors, transformers, and air frame control design. Another coming application of simulators will be in the reactor control design field and the missile and rocket design areas.


Here are the principal reasons for using simulators:

1. Save time and money

2. Avoid expending valuable equipment in test 3. Provide for inclusion of the human element in engineering studies

4. Substitute for unavailable apparatus

5. Provide a physical picture of the analyst's equations

By no means complete, this listing is intended as thought stimulation for business-minded managers who are looking for ways to invest in order to get better engineering results.


Now let us take a look at what we term MACHINES THAT RUN MACHINES. Our current example is Numerical Machine Tool Control Systems. Beginning in 1948, the General Electric Company has pioneered in the development of automatic control systems for machine tool applications. These systems have fallen roughly into three categories:

1. Position controls (point-to-point)

2. Continuous position controls (velocity controls) 3. Process control

These machines have been developed to capitalize on three of

the basic motivations for automatic machine tools:

1. Increased productivity

2. Elimination of waste

3. Reduced set-up time and expense

Current thinking and development wort is being devoted to enhance these three characteristics as well as to include some further benefits of automatic machine tools. These devices should also:

1. Optimize the transfer of information from designer to machinist


2. Enlarge versatility and capability of basic machine tools 

3. Perform Jobs otherwise impossible to do

4. Simplify, speed up, and reduce the expense of the overall manufacturing operation.

There exist many philosophical approaches to solutions for these seven objectives. The solutions vary depending on the machine tool application (Figure 1). For production work, one system concept leads to the block diagram solution shown as Product A. This solution is based on the fact that the manufacturer has a large general purpose computer at his disposal. It further assumes that this computer is to be employed for work other than preparing machine tool data. With the tape intermediary between the director and the machine tool, it is possible to split the cost of one tape preparation device (director) among several machine tools.

Product B shows a system concept applicable to manufacturers who do not have a large computer at their disposal. The computer performs automatically, all such operations as tool offset, interpolation, and the vector resolution of cutting speed. The reasons for using an elegant director instead of a general purpose computer are primarily economic. The initial cost of the director should be lower than the initial cost of a general purpose computer. Furthermore, this director should be capable of preparing data for several machines at a much faster rate than a general purpose computer can do it. Perhaps the greatest advantage of having this special purpose director here is that it requires absolutely no programming. One of the largest costs and the most time consuming operation involved in running a general purpose computer is the programming of the computer. With the elegant director, all operational costs are minimized without limiting the generic types of machining operations available to the manufacturer. It is not necessary to maintain a mathematician to program the computer every time a new part is to be machined ..

The third system approach to the machining problem is Shown as Product C. This approach is useful and more economic to manufacturers who have a limited number of machine tools they wish to control numerically. Here the director is attached directly to a machine tool. Either the services of a computer may be purchased when needed, or a small special purpose (or general purpose, if desired) computer can be obtained for direct utilization. This third scheme does lead to the ability to perform some elegant machine tool control operations not otherwise available in the first two systems concepts.

Now let us consider Linear Programming for Operation Research or shall we say, the use of scientific management methods and devices.

Let us first ask some questions and then in turn answer these questions:

What is Linear Programming? It's a mathematical technique for finding an optimum solution to sets of simultaneous equations with more variables than equations where the variables cannot have negative values. Or, in common terms - Linear Programming provides a technique whereby the most economical course may be computed and applied automatically.




In what areas is Linear Programming useful? Generally in the engineering planning and management decision field; specifically, where the most profitable course of action (program) must be chosen out of a number of' technically acceptable but less profitable programs.

Why is Linear Programming important? Linear programming provides a technique whereby the most economical course may be computed and applied automatically, primarily, because it operates best in a field of paramount importance to industry; optimizing profits. Where the technique is applicable, it can find the one most profitable course of action among a sea of possibilities.

Computers are rapidly coming into their own as vital tools for the fledgling science of Operations Research. With the amount of computation that must be performed on large operations research problems, electronic computers are the obvious answer. Their speed, coupled with virtual elimination of computation errors, 1I1akes them extremely attractive. Operations Research can sometimes produce new answers or viewpoints in what were previously considered unsolvable are as.


The areas where Linear Programming are important to you are: 

     Financial Control

     Process Control

     Transportation Control (Warehouse - Factory) 

     Production Planning

     Better Cost Data

or you simulate a model of your entire operation.


We are, at the present time, working with several operating departments on a contributing basis, as well-as on a direct end-use product basis.

We believe that in surveying your requirements you will need and must have specially designed computers for - Simulation - Process Control - Machine Control - Special Purpose Control.

Since it is out charter responsibility it will, therefore, be our continuing and willing desire to work with all of you on a cooperative and effective approach for your specific computer needs. 





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