PCB conformal coating is a protective layer applied to printed Circuit Board s (PCBs) to shield them from environmental factors such as moisture, dust, chemicals, and extreme temperatures. This coating is a thin, polymeric film that conforms to the contours of the PCB, providing a barrier against contaminants and enhancing the reliability and longevity of the electronic device.
Types of Conformal Coatings
There are several types of conformal coatings available, each with its own unique properties and benefits. The most common types include:
Acrylic
Silicone
Polyurethane
Epoxy
Parylene
Coating Type
Advantages
Disadvantages
Acrylic
Easy to apply and remove, cost-effective, good moisture resistance
Limited chemical and abrasion resistance
Silicone
Excellent flexibility, wide temperature range, good moisture and chemical resistance
Difficult to remove, may require a primer
Polyurethane
Good mechanical strength, abrasion resistance, and chemical resistance
Can be difficult to apply evenly
Epoxy
Excellent chemical and abrasion resistance, good mechanical strength
Rigid, difficult to remove, requires high cure temperatures
Parylene
Uniform coating, excellent moisture and chemical resistance, pinhole-free
Expensive, requires specialized equipment for application
When to Use Conformal Coating
Not all PCB assemblies require conformal coating. The decision to use conformal coating depends on various factors, such as the operating environment, the criticality of the device, and the expected lifetime. Here are some situations where conformal coating is highly recommended:
Harsh Environmental Conditions
If your PCB Assembly will be exposed to harsh environmental conditions, such as high humidity, corrosive chemicals, or extreme temperatures, conformal coating can provide the necessary protection. For example, PCBs used in outdoor equipment, industrial machinery, or marine applications are often coated to withstand the elements.
High Reliability Requirements
In applications where reliability is critical, such as medical devices, aerospace systems, or military equipment, conformal coating is essential. The added protection helps prevent failures caused by environmental factors, ensuring the device functions as intended even under challenging conditions.
Miniaturization and High Density Layouts
As electronic devices become smaller and more compact, PCBs are designed with higher density layouts. Conformal coating can help prevent short circuits and electrical leakage between closely spaced components, improving the overall reliability of the device.
Advantages of Conformal Coating
Applying conformal coating to your PCB assembly offers several benefits, including:
Enhanced protection against moisture and humidity : Conformal coatings provide a barrier against moisture, preventing corrosion and short circuits caused by condensation or high humidity levels.
Improved chemical resistance : Many conformal coatings are resistant to a wide range of chemicals, protecting the PCB from exposure to solvents, fuels, and other harsh substances.
Increased mechanical strength : Conformal coatings can help reinforce the mechanical strength of the PCB, reducing the risk of damage caused by vibrations or physical stress.
Better electrical insulation : The coating acts as an insulating layer, preventing electrical leakage and short circuits between components.
Extended product lifetime : By protecting the PCB from environmental factors and reducing the risk of failures, conformal coating can significantly extend the lifetime of the electronic device.
Disadvantages of Conformal Coating
While conformal coating offers many benefits, there are also some potential drawbacks to consider:
Added cost : Applying conformal coating to PCB assemblies adds an extra step to the manufacturing process, which can increase production costs.
Rework and repair challenges : Once a PCB is coated, it can be more difficult to rework or repair components without damaging the coating or the board itself.
Inspection and testing difficulties : The presence of a conformal coating can make it harder to visually inspect the PCB for defects or perform certain testing procedures.
Potential for trapped contaminants : If the PCB is not thoroughly cleaned before applying the coating, contaminants can become trapped beneath the layer, potentially causing issues down the line.
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” 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How to Apply Conformal Coating
There are several methods for applying conformal coating to PCB assemblies, each with its own advantages and limitations. The most common application methods include:
Brushing
Brushing is a manual method that involves applying the coating with a brush or applicator. This method is suitable for small-scale production or touch-up work but can be time-consuming and may result in uneven coating thickness.
Spraying
Spraying is a popular method that uses a spray gun or aerosol can to apply the coating to the PCB. This method is faster than brushing and can provide a more uniform coating, but it may require masking of certain areas to prevent overspray.
Dipping
Dipping involves immersing the PCB assembly into a tank of liquid conformal coating. This method ensures complete coverage and is suitable for high-volume production, but it may result in excess coating that needs to be removed.
Selective Coating
Selective coating uses automated dispensing equipment to apply the coating only to specific areas of the PCB. This method is precise and minimizes the amount of coating used but requires specialized equipment and programming.
Choosing the Right Conformal Coating
When selecting a conformal coating for your PCB assembly, consider the following factors:
Environmental conditions : Choose a coating that can withstand the specific environmental factors your device will be exposed to, such as humidity, temperature, or chemicals.
Material compatibility : Ensure that the coating is compatible with the materials used in your PCB, including the Solder Mask , components, and any markings or labels.
Application method : Consider the available application methods and choose a coating that is compatible with your preferred method and production volume.
Rework and repair requirements : If your PCB assembly may require frequent rework or repairs, choose a coating that can be easily removed without damaging the board or components.
Cost : Evaluate the cost of the coating material and the application process, balancing it against the expected benefits in terms of reliability and product lifetime.
Frequently Asked Questions (FAQ)
Q: Can conformal coating be removed if needed?
A: Yes, most conformal coatings can be removed using solvents or mechanical methods, such as scraping or abrasion. However, the removal process can be time-consuming and may risk damaging the PCB or components.
Q: Is conformal coating necessary for all PCB assemblies?
A: No, not all PCB assemblies require conformal coating. The decision to use conformal coating depends on factors such as the operating environment, reliability requirements, and device criticality.
Q: How does conformal coating affect PCB assembly repair and rework?
A: Conformal coating can make PCB assembly repair and rework more challenging, as the coating must be removed to access the components. This process can be time-consuming and may require specialized equipment or solvents.
Q: Can conformal coating be applied selectively to specific areas of the PCB?
A: Yes, selective coating methods, such as automated dispensing or masking, can be used to apply conformal coating only to specific areas of the PCB, leaving other areas uncoated.
Q: How does conformal coating impact the environmental sustainability of electronic devices?
A: Conformal coating can contribute to environmental sustainability by extending the lifetime of electronic devices and reducing the need for frequent replacements. However, the coating materials themselves may have environmental impacts that should be considered when making a selection.
Conclusion
Conformal coating is a valuable tool for protecting PCB assemblies from environmental factors, enhancing reliability, and extending product lifetime. When deciding whether to use conformal coating, consider the specific requirements of your application, including the operating environment, reliability needs, and production constraints. By carefully selecting the appropriate coating material and application method, you can ensure that your PCB assembly is well-protected and able to function optimally throughout its intended lifecycle.
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