In-Circuit Testing (ICT)
In-Circuit Testing (ICT) is a powerful testing method used to verify the functionality and connectivity of individual components on a PCBA. ICT is performed using specialized equipment that probes the board’s E-Test -points-of-a-pcb/”>test points, checking for short circuits, open circuits, and component values. This testing technique is highly effective in detecting manufacturing defects and ensuring that each component is correctly placed and soldered.
Advantages of In-Circuit Testing
Detects component-level faults
Identifies manufacturing defects early in the process
Provides precise diagnostic information
Suitable for high-volume production
Limitations of In-Circuit Testing
Requires dedicated test fixtures and probes
Limited coverage for complex digital circuits
May not detect functional defects
Flying Probe Testing
Flying Probe Testing is an alternative to ICT that uses movable probes to test the PCBA without the need for a dedicated test fixture. The probes are programmed to move across the board, making contact with the test points and performing electrical measurements. Flying Probe Testing is ideal for low-volume production runs, prototypes, and boards with limited access to test points .
Advantages of Flying Probe Testing
No need for custom test fixtures
Flexibility in testing different board designs
Suitable for low-volume production and prototypes
Can test both sides of the PCBA
Limitations of Flying Probe Testing
Slower than ICT due to probe movement
Limited number of probes may affect test coverage
Higher cost per board compared to ICT for high-volume production
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” 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Boundary Scan Testing
Boundary Scan Testing, also known as JTAG (Joint Test Action Group) testing, is a method used to test digital circuits on a PCBA. It utilizes a built-in test infrastructure within the integrated circuits (ICs) to access and control the IO pins, allowing for testing of interconnections and logic functions. Boundary Scan Testing is particularly useful for testing complex digital circuits and detecting faults in areas inaccessible to physical probes.
Advantages of Boundary Scan Testing
Tests complex digital circuits and interconnections
Access to hard-to-reach areas of the PCBA
Detects faults in BGA and other high-density packages
Supports automated test generation and fault diagnosis
Limitations of Boundary Scan Testing
Requires compatible ICs with boundary scan support
Limited coverage for analog and mixed-signal circuits
May require additional test hardware and software
Functional Testing
Functional Testing is performed to verify that the assembLED PCB A operates as intended, meeting the specified requirements and performance criteria. This testing method involves applying input signals and monitoring the output response of the board under various operating conditions. Functional Testing is crucial to ensure that the PCBA functions correctly in the final product.
Advantages of Functional Testing
Verifies the overall functionality of the PCBA
Detects defects not caught by other testing methods
Ensures compatibility with the intended application
Can be automated for high-volume production
Limitations of Functional Testing
Requires a comprehensive test plan and test cases
May not identify the root cause of failures
Test coverage depends on the thoroughness of the test cases
Automated Optical Inspection (AOI) is a non-contact testing method that uses high-resolution cameras and image processing algorithms to inspect the PCBA for visual defects. AOI systems can detect a wide range of defects, including missing components, incorrect component placement, solder bridges, and insufficient solder joints. AOI is typically performed immediately after the soldering process to identify defects early in the assembly process.
Advantages of Automated Optical Inspection
Fast and efficient inspection of the entire PCBA
Detects visual defects not caught by electrical testing
Reduces human error and subjectivity in visual inspection
Generates detailed inspection reports and traceability data
Limitations of Automated Optical Inspection
May not detect functional defects or internal component faults
Requires precise camera setup and lighting conditions
False positives and false negatives may occur due to variations in component appearance
X-Ray Inspection
X-Ray Inspection is a non-destructive testing method that uses X-rays to visualize the internal structure of the PCBA, particularly for hidden solder joints and components. This technique is especially useful for inspecting Ball Grid Array (BGA) packages, flip chips, and other high-density components where visual inspection is not possible. X-Ray Inspection can detect voids, bridging, and other defects in solder joints that are not visible from the surface.
Advantages of X-Ray Inspection
Non-destructive inspection of hidden solder joints and components
Detects defects in BGA and other high-density packages
Provides detailed images of internal structures
Suitable for failure analysis and quality control
Limitations of X-Ray Inspection
Higher cost compared to other inspection methods
Requires specialized equipment and trained operators
May not detect all types of defects, such as cold solder joints
Burn-In Testing
Burn-In Testing is a stress testing method that involves subjecting the PCBA to elevated temperatures and operating conditions for an extended period to identify early failures and improve reliability. This testing technique accelerates the aging process, revealing defects that may not be detected during normal testing. Burn-In Testing is particularly useful for mission-critical applications and products with high reliability requirements.
Advantages of Burn-In Testing
Identifies early failures and weak components
Improves the overall reliability of the PCBA
Reduces infant mortality and field failures
Provides confidence in the product’s long-term performance
Limitations of Burn-In Testing
Increased testing time and cost
Requires specialized burn-in chambers and monitoring equipment
May not detect all types of defects or failures
Environmental Testing
Environmental Testing is performed to evaluate the PCBA’s ability to withstand various environmental conditions it may encounter during its lifecycle. This testing method subjects the PCBA to extreme temperatures, humidity, vibration, and shock to ensure its reliability and durability. Environmental Testing is crucial for products that operate in harsh environments or are subject to transportation and handling stresses.
Advantages of Environmental Testing
Verifies the PCBA’s resistance to environmental stresses
Identifies design and manufacturing weaknesses
Ensures the product’s reliability in the intended operating environment
Complies with industry standards and regulatory requirements
Limitations of Environmental Testing
Requires specialized environmental test chambers and equipment
Increased testing time and cost
May not simulate all possible environmental conditions
Testing Technique
Detects Manufacturing Defects
Detects Functional Defects
Test Coverage
Test Speed
Cost
In-Circuit Testing (ICT)
High
Low
High
Fast
Moderate
Flying Probe Testing
High
Low
Moderate
Slow
High
Boundary Scan Testing
Moderate
High
Moderate
Fast
Moderate
Functional Testing
Low
High
High
Moderate
Moderate
Automated Optical Inspection
High
Low
High
Fast
Moderate
X-Ray Inspection
High
Low
Moderate
Moderate
High
Burn-In Testing
Moderate
High
Moderate
Slow
High
Environmental Testing
Low
High
Moderate
Slow
High
Frequently Asked Questions (FAQ)
1. What is the purpose of PCBA testing?
PCBA testing is performed to ensure the quality, reliability, and functionality of the assembled printed circuit boards. It helps identify manufacturing defects, component failures, and design issues, reducing the risk of field failures and improving the overall product quality.
2. At what stages of the assembly process is PCBA testing performed?
PCBA testing is performed at various stages of the assembly process, including:
– After component placement and soldering (e.g., AOI, X-Ray Inspection)
– After the assembly is complete (e.g., ICT, Flying Probe Testing, Boundary Scan Testing)
– Before final product integration (e.g., Functional Testing, Burn-In Testing, Environmental Testing)
3. How do I choose the appropriate testing methods for my PCBA?
The choice of testing methods depends on several factors, including:
– The complexity and type of components on the PCBA
– The production volume and cost constraints
– The reliability and environmental requirements of the final product
– The available testing equipment and expertise
It is recommended to consult with experienced PCBA testing professionals to develop a comprehensive testing strategy that balances coverage, speed, and cost.
4. Can PCBA testing guarantee zero defects?
While PCBA testing significantly reduces the likelihood of defects, it cannot guarantee zero defects. Some defects may not be detectable by the chosen testing methods, and there is always a possibility of human error or equipment limitations. However, a well-designed testing process can minimize the risk of defects and ensure a high level of product quality.
5. How can I optimize my PCBA testing process?
To optimize your PCBA testing process, consider the following:
– Implement a comprehensive testing strategy that covers different types of defects and failures
– Invest in reliable and efficient testing equipment and software
– Provide proper training to your testing personnel
– Establish clear testing procedures and quality standards
– Regularly review and update your testing process based on feedback and industry best practices
– Collaborate with your PCBA design and manufacturing teams to identify and address potential issues early in the process
By continuously improving your PCBA testing process, you can achieve higher product quality, reduced costs, and faster time-to-market.
Conclusion
PCBA testing is an essential aspect of the electronics manufacturing process, ensuring the quality, reliability, and functionality of the assembled printed circuit boards. The eight testing techniques discussed in this article – In-Circuit Testing, Flying Probe Testing, Boundary Scan Testing, Functional Testing, Automated Optical Inspection, X-Ray Inspection, Burn-In Testing, and Environmental Testing – each have their strengths and limitations. By understanding these techniques and their applications, manufacturers can develop a comprehensive testing strategy that meets their specific requirements and ensures the production of high-quality PCBAs.
As the complexity of electronic products continues to increase, the importance of effective PCBA testing cannot be overstated. By investing in the right testing equipment, expertise, and processes, manufacturers can minimize defects, reduce costs, and improve customer satisfaction. Ultimately, a robust PCBA testing approach is crucial for the success and competitiveness of any electronics manufacturing business in today’s demanding market.
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