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    When is a colorimeter suitable for use

    Source:www.uninorths.com.cn      Release date: 2025-12-30
    The core of the colorimeter is used to correctly detect, quantify, and control color differences. As long as it involves the needs of "color matching, color matching, and color control", it is suitable for production, quality inspection, and research and development scenarios, especially for industries that require high color consistency. The following is a clear explanation of the core scenarios,
           The core of the colorimeter is used to correctly detect, quantify, and control color differences. As long as it involves the needs of "color matching, color matching, and color control", it is suitable for production, quality inspection, and research and development scenarios, especially for industries that require high color consistency. The following is a clear explanation of the core scenarios, applicable work conditions, and pit avoidance boundaries, which can be directly applied:
    Core application scenarios of colorimeter (by industry+practical scenarios)
    1、 Industrial production quality inspection (core essential needs, control batch product color uniformity)
          This is the most commonly used scenario for colorimeters, replacing manual visual color matching to avoid subjective errors and ensure color consistency between batches and within batches
    1. Plastic/Injection Molding Industry: Raw Material Color Matching, Finished Product Quality Inspection
          Applicable situation: During mass production of plastic parts (shells, accessories), color difference between raw materials and standard color plates, color difference between first piece and mass-produced parts, and color difference between different batches of raw materials should be detected; Resolve color cast caused by injection molding temperature/raw material batch, such as household appliance casings, automotive plastic parts, electronic component casings
          Key usage: Measure Δ E, the smaller the Δ E, the more it meets the standard (usually requiring Δ E ≤ 1.0)
          Coatings/paints/inks industry: color matching debugging, finished product acceptance
          Applicable situations: Proper color matching during coating preparation (reducing the number of color tests), testing for color difference between the coating and the standard color before leaving the factory, and testing for paint film color compliance after construction; Color calibration before ink printing, color difference control of printed materials (packaging, color pages), to avoid "same draft with different colors"
          Key usage: Paired with standard color cards (Pantone, National Standard Color Cards), calibrated and tested to control the uniformity of spraying/printing
    2. Textile/Printing and Dyeing Industry: Fabric, Ready to Wear, Printing and Dyeing Control
          Applicable situations: Color matching of fabrics after dyeing (cotton, linen, synthetic fiber, knitted), color difference detection of different batches of fabrics, color difference verification between finished garments and design drafts, real-time color control during the printing and dyeing process; Resolve color distortion and color deviation caused by water temperature and dye concentration, such as in clothing, home textiles, curtains, and carpets
          Key usage: Distinguish fabric materials (reflective/matte) and select the corresponding measurement mode to avoid fabric texture affecting the results
    Hardware/Electroplating/Anodizing Industry: Surface Treatment Color Control
          Applicable situation: After electroplating (chrome plating, nickel plating, zinc plating) and anodizing (such as aluminum alloy) of hardware, check whether the surface color is consistent with the standard; Resolve the color dullness and lightness caused by electroplating process parameters, such as furniture hardware, automotive parts, and building materials hardware
          Key usage: Choose a measurement aperture that is suitable for metal reflection to avoid interference with color difference data caused by reflection
    2、 Building materials/home furnishing industry (ensuring consistency in appearance and improving quality control)
    Suitable for building materials and home products with high requirements for appearance and color, to avoid "mismatched products"
          1. Building materials: ceramic tiles, panels, coatings, stone, doors and windows
    Applicable situations: Color difference detection between ceramic tile batches (to avoid disorderly color patterns after tiling), color difference screening of solid wood/artificial boards, color matching before and after exterior wall coating construction, color matching and splicing of stone (marble, quartz), color control of door and window profiles (aluminum alloy, plastic steel)
          Typical scenario: Batch purchase and quality inspection of ceramic tiles during decoration, unified control of color for customized panels throughout the house
          2. Home furnishings: furniture, leather, flooring, home textiles
          Applicable situations: color difference of solid wood furniture paint surface, consistency of leather sofa/seat color, batch color difference of wooden flooring, color difference of curtains/bedding printing and dyeing; For example, customizing furniture cabinets and door panels throughout the house to match colors, and screening color difference boards before flooring
          3、 Food industry (quality control+compliance, not just looking at appearance)
          In addition to color consistency, it can also determine the freshness of food through color difference, which is suitable for the entire process of food production, processing, storage and transportation
          1. Fresh/Fruits and Vegetables: Determine Maturity and Freshness
          Applicable situations: To detect the maturity of fruits (apples, oranges, grapes) (the darker the color, the higher the maturity), vegetables (vegetables, tomatoes) freshness (to avoid yellowing and wilting), and meat (pork, beef) freshness (to distinguish the color difference between fresh meat and spoiled meat)
          Typical scenarios: Fruit and vegetable picking and grading, supermarket fresh food quality inspection, cold chain storage and transportation quality control
          2. Processed food: color matching+quality control
          Applicable situations: baking degree of baked goods (bread, cake) (judged by color to determine ripeness), color consistency of sauces (tomato sauce, soy sauce), candy/beverage color meeting standards, rice, flour, grain and oil color (judged for mold growth)
          Key value: Avoiding excessive/insufficient processing, ensuring consistent taste and quality of batches
    4、 Beauty/daily chemical industry (correct color matching to ensure product compliance)
          Suitable for beauty and daily chemical products with high color accuracy requirements, avoiding color differences that affect reputation
          1. Beauty: lipstick, foundation make-up, eye shadow, powder blusher
          Applicability: lipstick paste batch color difference detection, correct matching of foundation make-up color number, eye shadow/powder blusher color matching debugging, and consistency control of makeup products and color cards; Resolve color cast caused by raw materials and processes, ensuring 'no difference in same color code'
    Key usage: Suitable for paste and powder materials, choose small caliber for more accurate measurement
          2. Daily chemical products: shampoo, shower gel, skincare products, detergents
          Applicable situations: Product original color control (to avoid discoloration caused by deterioration), color difference in packaging bottle printing, color consistency of cream products; For example, whether the skin care lotion turns yellow due to oxidation, and whether the color of detergent reaches the standard
    5、 R&D/laboratory scenario (correct color matching+data support)
          Suitable for enterprise research and development, university laboratories, used for new product color matching, formula optimization, and performance testing
          New product development color matching: For example, when developing new materials, coatings, and fabrics, correctly mix colors, record color value data, shorten the development cycle, and avoid errors in color matching based on experience
          Formula optimization: By using color difference data, adjust the proportion of raw materials (such as dye and pigment addition), optimize the production process (such as temperature and time), and make the product color closer to the standard
           Performance testing: Testing the color change of products after weather resistance (sun resistance, water resistance, friction resistance), such as color difference of coatings after UV aging and color fastness testing of fabrics after water washing
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