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Laboratory computers for automated data acquisition are becoming increasingly common. This report summarizes the development of a microcomputer-based data acquisition system for the Air Force Materials Laboratory Thermal Flash Test Facility. The system is based on a Digital Equipment Corporation LSI-11 microcomputer and acquires multiple channels of data from nuclear simulation experiments on aircraft components. Comprising the lowest level of a rudimentary hierarchial network, the system transmits the data to a larger minicomputer system for storage, from where it is subsequently retransmitted to a mainframe system for reduction and plotting. Software for the data acquisition system is modularly structured and written primarily in FORTRAN to facilitate modifications by the user. Basic hardware for the system is discussed, and the program algorithms and structure are examined. (Author).
This thesis describes the software design and implementation of a microprocessor-based, random load drive and data acquisition system on a Material Testing System (MTS) machine. A microprocessor, combination analog input/output module, magnetic cassette tape recorder, and strain gage network form a strain data acquisition system for recording sequential strain peaks and throughs on specimens subjected to flight load histories. The data will be used to estimate the fraction of the fatigue life expended in a test specimen. A high speed digital computer is linked by telephone line to a microcomputer development system to create the randomization of fatigue loads specified in Mil Spec 8866 Spectrum A for use by the MTS machine. (Author).
A data acquisition system has been designed and assembled to allow automated, unattended fatigue crack growth testing. The system employs a low-cost micro-computer and analog-to-digital converter interfaced to a standard MTS servohydraulic fatigue machine. The system is designed to comply with ASTM Test for Constant-Load-Amplitude Fatigue Crack Growth Rates Above 10-8 m/Cycle (E 647). High-performance data are obtained by the crack-opening displacement method.