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  • Electronic Resource  (2)
  • Intelligent machining  (1)
  • Rice Zinc  (1)
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  • Electronic Resource  (2)
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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    The international journal of advanced manufacturing technology 9 (1994), S. 166-174 
    ISSN: 1433-3015
    Keywords: CAD ; CAM ; CAPP ; Feature extraction ; Intelligent machining
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract Traditional machining process planning relies heavily on human decision making and manual calculations. The utilisation of CAM software and computers to aid machining reduces errors and planning time. A fully integrated planning system using CAD and CAM software would further increase the efficiency of process planning. The goal of this research is the automation of machining process planning for prismatic parts by integrating Autocad and Mastercam software packages using the Autolisp programming language and artificial intelligence techniques. Using only a 3D representation of the prismatic part geometry drawn in Autocad as input, the integrated system will be capable of producing NC code for the machining of the part with minimal human intervention. This system would greatly enhance the productivity of machining process planning.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1573-5036
    Keywords: Calcareous soil ; Critical limit ; Rice Zinc
    Source: Springer Online Journal Archives 1860-2000
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: Summary The DTPA-extractable Zn in 23 calcareous soils ranged from 0.34 to 3.42 ppm and the total Zn in rice leaves of control pots ranged from 15 to 50 ppm. The soil available Zn was negatively correlated with pH (r=−0.41*) and positively correlated with organic carbon (r=0.71**)_and rice tissue Zn concentration (r=0.98**). The Bray's per cent yield ranged from 29.12 to 126.36 and was positively correlated with available Zn (r=0.93**) and plant tissue Zn (r=0.91**). The critical Zn concentration in soil and plant below which plant response to Zn application to the soil may be expected, was 0.78 and 19 ppm respectively. In all the soils testing below 0.78 ppm Zn plants responded to Zn application and the per cent mean response at 5 and 10 ppm added Zn levels was 101.21 and 111.38 respectively. A negative response to applied Zn was recorded in soils of the high Zn group where the per cent mean response at 5 and 10 ppm added Zn was −14.90 and −33.78 respectively.
    Type of Medium: Electronic Resource
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