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Brochure - DA 7200/7250 Accessories Скачать
Brochure - DA 7250 Скачать
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Brochure - DA 7300 In-Line Analyzer Скачать
Brochure - IM 8800 - German Скачать
Brochure - IM 9500 Customer Support Packages Скачать
Brochure - RVA Customer support packages Скачать
Brochure - TVT 6700 Accessories Скачать
Product Overview Скачать
Product Sheet - DA 7300 Mounting panel Скачать
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Product sheet - Lab Mill 120 Скачать
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Product sheet - Mill Feeder 3170 Скачать
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Product sheet - RVA 4500 Скачать
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Product Sheet - Texture Analyzer TVT 6700 NEW Dual Load Cell Скачать
RVA method brochure Скачать
82-01.01 Pet Food Pellets Hardness - Compression Скачать
Barley - DA 7250 Скачать
Blood meal - DA 7200/7250 Скачать
Canola meal/Rapeseed meal - DA 7200/7250 Скачать
Corn - DA 7250 Скачать
Corn starch method - RVA 06.04 Скачать
DDG - DA 7250 Скачать
Extrusion method - RVA 13.04 Скачать
Feather meal - DA 7200/7250 Скачать
Fishmeal - DA 7200/7250 Скачать
General Pasting Method - RVA 01.05 Скачать
General pasting method - RVA 01.05 - French Скачать
Greases - DA 7200/7250 Скачать
Meat and bone meal - DA 7200/7250 Скачать
Meat by-products - DA 7200/7250 Скачать
Mechanically Separated Poultry - DA 7200/7250 Скачать
Oats - DA 7200/7250 Скачать
Petfood, dry - DA 7250 Скачать
Petfood, wet - DA 7250 Скачать
Poultry meal - DA 7200/7250 Скачать
Rice - DA 7250 Скачать
Rice bran - DA 7250 Скачать
Rye - DA 7250 Скачать
Small grain sample division - SPD 4200 Скачать
Soy hulls - DA 7250 Скачать
Soymeal - DA 7250 Скачать
Sunflower seed meal - DA 7200/7250 Скачать
Sweet potato starch method - RVA 23.01 Скачать
Vegetable oils - DA 7250 Скачать
  • июля 10, 2017

    Sequential Precision Divider (SPD)

    Perten Instruments has designed a grain sample divider which allows the user to obtain a randomized sample from 50% down to 3.125% of a bulk sample in one single step. Five different crops were used to verify a prototype design in terms of randomization, and the theoretical maximum dividing capacity of 3.125%.

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  • октября 26, 2012

    Global calibrations for animal feed

    Using non-linear regression techniques such as Support Vector Machines or Honig's Regression it is possible to develop truly global calibrations for all types of feed without loss of performance. In addition, Honig's Regression is a self-learning technique which doesn't require recalculations of the calibration model.

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  • января 1, 2005

    How the RVA can contribute to understanding extruded foods and feeds

    The RVA can be used to evaluate all phases of extruded product during production, including raw material, dough, intermediates, dried half-products and final products. Pasting, mechanical and thermal pathways of starch degradation can be observed in the RVA curve, thus it is possible to use RVA paste rheology to assess the degree of cook of an extrudate.

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