초록 ▼

The present invention is directed to a portable oxygen concentrator system adapted to be transported by a user. The portable oxygen concentrator system includes an energy source, an air separation device powered by the energy source and adapted to convert ambient air into concentrated oxygen gas for

The present invention is directed to a portable oxygen concentrator system adapted to be transported by a user. The portable oxygen concentrator system includes an energy source, an air separation device powered by the energy source and adapted to convert ambient air into concentrated oxygen gas for the user, at least one sensor adapted to sense one or more conditions indicative of the oxygen gas needs of the user, and a control unit interrelated with the air separation device and the at least one sensor to control the air separation device so as to supply an amount of oxygen gas equivalent to the oxygen gas needs of the user based at least in part upon the one or more conditions sensed by the at least one sensor.

대표청구항 ▼

The present invention is directed to a portable oxygen concentrator system adapted to be transported by a user. The portable oxygen concentrator system includes an energy source, an air separation device powered by the energy source and adapted to convert ambient air into concentrated oxygen gas for

The present invention is directed to a portable oxygen concentrator system adapted to be transported by a user. The portable oxygen concentrator system includes an energy source, an air separation device powered by the energy source and adapted to convert ambient air into concentrated oxygen gas for the user, at least one sensor adapted to sense one or more conditions indicative of the oxygen gas needs of the user, and a control unit interrelated with the air separation device and the at least one sensor to control the air separation device so as to supply an amount of oxygen gas equivalent to the oxygen gas needs of the user based at least in part upon the one or more conditions sensed by the at least one sensor. control testing of a laser shock peening process of production workpieces, said method comprising the following steps: (a) laser shock peening a surface of the production workpiece by firing a plurality of laser beam pulses from a laser shock peening system on the surface of the production workpiece and forming a plurality of corresponding plasmas, each one of the plasmas for each one of the pulses having a duration in which the plasma causes a region to form beneath the surface, the region having deep compressive residual stresses imparted by the laser shock peening process, (b) measuring an acoustic signal for each of the laser beam pulses during a period of time during the duration of each corresponding one of the plasmas, (c) calculating an acoustic energy parameter value for each of the acoustic signals, (d) calculating a statistical function value of the workpiece based on the acoustic energy parameter values, and (e) comparing the statistical function value to a pass or fail criteria for quality assurance of the laser shock peening process for accepting or rejecting the workpiece. 2. A method as claimed in claim 1 wherein the pass or fail criteria is based on a pre-determined correlation of test piece statistical function data and high cycle fatigue failure based on high cycle fatigue tests of test pieces that were laser shock peened in the same or similar laser shock peening apparatus. 3. A method as claimed in claim 2 wherein the test pieces each have a failure precipitating flaw within a laser shock peened area of the test piece that was laser shock peened in the same or similar laser shock peening apparatus. 4. A method as claimed in claim 1 wherein the acoustic energy parameter values are maximum amplitudes of corresponding ones of the signals during the duration of each corresponding one of the plasmas. 5. A method as claimed in claim 4 wherein the statistical function value is an average of the acoustic energy parameter values for the laser beam pulses. 6. A method as claimed in claim 5 wherein the pass or fail criteria is based on a pre-determined correlation of test piece statistical function data and high cycle fatigue failure based on high cycle fatigue tests of test pieces that were laser shock peened in the same or similar laser shock peening apparatus. 7. A method as claimed in claim 6 wherein the test pieces each have a failure precipitating flaw within a laser shock peened area of the test piece that was laser shock peened in the same or similar laser shock peening apparatus. 8. A method as claimed in claim 1 wherein the acoustic energy parameter values are the signals integrated over time of the period of the duration of each corresponding one of the plasmas. 9. A method as claimed in claim 8 wherein the statistical function value is an average of the acoustic energy parameter values for the laser beam pulses. 10. A method as claimed in claim 9 wherein the pass or fail criteria is based on a pre-determined correlation of test piece statistical function data and high cycle fatigue failure based on high cycle fatigue tests of test pieces that were laser shock peened in the same or similar laser shock peening apparatus. 11. A method as claimed in claim 10 wherein the test pieces each have a failure precipitating flaw within a laser shock peened area of the test piece that was laser shock peened in the same or similar laser shock peening apparatus. 12. A method as claimed in claim 1 wherein: first and second acoustic energy parameter values for each of the acoustic signals are calculated, first and second statistical functions based on the first and second acoustic energy parameter values are calculated, and the first and second statistical function values are compared to first and second pass or fail criteria respectively for quality assurance of the laser shock peening process for accepting or rejecting the workpiece. 13. A method as claimed in claim 12 wherein first and second acoustic en ergy parameter values for each of the acoustic signals are maximum amplitudes of corresponding ones of the signals during the duration of each corresponding one of the plasmas and signals integrated over time of the period of the duration of corresponding ones of each corresponding one of the plasmas. 14. A method as claimed in claim 13 wherein the statistical function value is based on first and second averages of the first and second acoustic energy parameter values respectively for the laser beam pulses. 15. A method as claimed in claim 14 wherein the pass or fail criteria is based on a pre-determined correlation of test piece statistical function data and high cycle fatigue failure based on high cycle fatigue tests of test pieces that were laser shock peened in the same or similar laser shock peening apparatus. 16. A method as claimed in claim 15 wherein the test pieces each have a failure precipitating flaw within a laser shock peened area of the test piece that was laser shock peened in the same or similar laser shock peening apparatus. 17. A method as claimed in claim 1 wherein the acoustic signals are measured with an acoustic transducer mounted to the workpiece. 18. A method as claimed in claim 17 wherein the pass or fail criteria is based on a pre-determined correlation of test piece statistical function data and high cycle fatigue failure based on high cycle fatigue tests of test pieces that were laser shock peened in the same or similar laser shock peening apparatus. 19. A method as claimed in claim 18 wherein the test pieces each have a failure precipitating flaw within a laser shock peened area of the test piece that was laser shock peened in the same or similar laser shock peening apparatus. 20. A method as claimed in claim 17 wherein the acoustic energy parameter values are maximum amplitudes of corresponding ones of the signals during the duration of each corresponding one of the plasmas. 21. A method as claimed in claim 20 wherein the statistical function value is an average of the acoustic energy parameter values for the laser beam pulses. 22. A method as claimed in claim 17 wherein the acoustic energy parameter values are the signals integrated over time of the period of the duration of each corresponding one of the plasmas. 23. A method as claimed in claim 22 wherein the statistical function value is an average of the acoustic energy parameter values for the laser beam pulses. 24. A method as claimed in claim 17 wherein: first and second acoustic energy parameter values for each of the acoustic signals are calculated, first and second statistical functions based on the first and second acoustic energy parameter values are calculated, and the first and second statistical function values are compared to first and second pass or fail criteria respectively for quality assurance of the laser shock peening process for accepting or rejecting the workpiece. 25. A method as claimed in claim 24 wherein first and second acoustic energy parameter values for each of the acoustic signals are maximum amplitudes of corresponding ones of the signals during the duration of each corresponding one of the plasmas and signals integrated over time of a period of the duration of corresponding ones of the plasmas respectively. 26. A method as claimed in claim 25 wherein the statistical function value is based on first and second averages of the first and second acoustic energy parameter values respectively for the laser beam pulses. 27. A method as claimed in claim 26 wherein the pass or fail criteria is based on a pre-determined correlation of test piece statistical function data and high cycle fatigue failure based on high cycle fatigue tests of test pieces that were laser shock peened in the same or similar laser shock peening apparatus. 28. A method as claimed in claim 27 wherein the test pieces each have a failure precipitating flaw within a laser shock peened area of the test piece that was laser shock peened in the s