What is Immersion Gold?
Immersion gold, also known as electroless nickel immersion gold (ENIG ), is a surface finishing process used in the manufacturing of PCB .org/?p=1053″>Printed Circuit Boards (PCBs). This process involves the deposition of a thin layer of gold over a nickel substrate through a chemical reaction, without the use of electrical current. The typical thickness of the gold layer in immersion gold ranges from 0.05 to 0.2 micrometers (μm).
Advantages of Immersion Gold
Excellent solderability
Flat and uniform surface finish
Good shelf life (up to 12 months)
Suitable for fine-pitch components
Resistant to oxidation and corrosion
Disadvantages of Immersion Gold
Higher cost compared to other surface finishes
Potential for “black pad” defects due to improper plating processes
Not suitable for multiple reflow cycles
What is Gold Plating?
Gold plating, also known as electrolytic gold plating or electroplating, is a process that involves the deposition of a gold layer onto a metal surface using an electric current. The thickness of the gold layer in this process typically ranges from 0.5 to 2.5 micrometers (μm), depending on the application requirements.
Advantages of Gold Plating
Thicker gold layer compared to immersion gold
Excellent resistance to wear and abrasion
High electrical conductivity
Suitable for applications requiring multiple reflow cycles
Aesthetically appealing finish
Disadvantages of Gold Plating
Higher cost compared to immersion gold
Potential for uneven plating thickness
Requires additional processing steps (e.g., nickel undercoat)
May require special handling to avoid scratches or damage
Differences Between Immersion Gold and Gold Plating
Parameter
Immersion Gold
Gold Plating
Process
Chemical deposition without electric current
Electrolytic deposition using electric current
Gold Thickness
0.05 to 0.2 μm
0.5 to 2.5 μm
Cost
Lower than gold plating
Higher than immersion gold
Shelf Life
Up to 12 months
Longer than immersion gold
Reflow Cycles
Limited (1-2 cycles)
Multiple cycles possible
Appearance
Matte, uniform finish
Bright, shiny finish
Applications
PCBs, fine-pitch components
Connectors, contacts, jewelry
How to Distinguish Between Immersion Gold and Gold Plating
Visual Inspection
One of the easiest ways to distinguish between immersion gold and gold plating is through visual inspection. Immersion gold typically has a matte, uniform appearance, while gold plating has a bright, shiny finish. However, this method may not always be reliable, as the appearance can be affected by factors such as the underlying nickel layer or the specific plating process used.
Thickness Measurement
Another way to differentiate between the two processes is by measuring the thickness of the gold layer. Immersion gold typically has a thinner gold layer (0.05 to 0.2 μm) compared to gold plating (0.5 to 2.5 μm). This can be measured using techniques such as X-ray fluorescence (XRF) or cross-sectional analysis.
Chemical Analysis
Chemical analysis methods, such as energy-dispersive X-ray spectroscopy (EDS) or auger electron spectroscopy (AES), can be used to determine the composition and thickness of the gold layer. These techniques can provide accurate information about the gold layer and help distinguish between immersion gold and gold plating.
Solderability Testing
Solderability testing can also be used to differentiate between the two processes. Immersion gold typically has excellent solderability due to its thin, uniform gold layer, while gold plating may have slightly lower solderability due to its thicker gold layer. Solderability tests, such as the wetting balance test or the dip-and-look method, can help assess the solderability of the surface finish.
PWBc6dLFEbt4kt4JZT9nhkf98UJyDtNYTpuStF2OqnWdKLm43X4k7ya3/Z0MiuJLORcGSIl5ov9iU9R+X41Us7Ke+cpHgIuPMdvurSWl7dWMhktnHPEqNzHIvpIp4rUtbixuZnlsjHY3zcG3kybS4P+weMNWUqfJB+wWoqco4mcZYhuy6FmU6hYW6LL/ptlCQC4Pl3tspP3o5FOeKbMllNFBfLclVaTy477Ztbzf8AnnfRDg/7wqO83oFl1dtmP9Tp8L5eUj+OZh2qqI7jUQLq8lW006AYTAxEq/3IE7t70UIVPZ2r6s68RiIqfLQRPbswmkj07/Sb+TcbjUJARDAp+95G7oPelgiKySppsnmXGT9r1SUEhGP3ltw3U+9WrS50qFXjEE9pDcKE/wBMBeC8jPALsPutTo7Oa1eQ2AAVz5n2Gd/vjH3reYcEelVUcvZv2FrlUqN5KVf+vQpXaj7mqp5iAhItUt0xIueFE6ng0LJPo9rP5NtbzpdK6jUInc5VhgDjlSPSs69u725d47jMapISINu0RkHjd6mrun2uswxNND5YRxg2txys699ynge1TCq6dNPENJnM0q1drDJ6dSxa6bawJpdzeJc3LXTq6JaqHjXow81jzTtWWxiuL1riT7XfTnEaISkVqmMKWwfvD0pIZrzZcQaXM9rPg+Zp1wQSpPU2jv29KhstEnu1WUXJGx2F4k8TrLG45ITPU1u9Y+6aqX2OUzLW5SC5YwTRSTWxHnxK4LKDxiRRzXV2t3BdwpJHgHndGSC6kHvjmuTlECTXZgQKJH2yO8SRzyBeB5xUZz9au2mnXeyK8NxBZqx/cSTvsaT/AHQB0ryq+DdfV7ndQxcaMuSCvE6SSOCWN4pUWSJ1KSRuodHU9mB7VzVz4L0SVmktHltCTkov7yHPsrcj860H1G8sJPIv4VdtoZZYWGHU9G9KsJq+nMFxIVPAIkXBUevpXlSoVqTtY9mniqUtpHO/8ITIOPt8e0ng+U+cfnV218FaNC4kumlu2HOyQBIf+BKvJ/OugiurabBimib2DDJ/A81Lu7c5Htn9RWPPJeRupc2wieTEEhRVRUVVSNAAqr0AUDj6Cn57ZFQTskUclwUkYQJI+2PLM20ZwqjuegrO0XV11aOZ1s7i3MUhRlnBBbPO5SQPxqbN6gaF7bG7tbm3SaWB5o2RZ4f9ZET/ABLVPRtJfSrZ7aW9mu90hkV5sDYMYwo5P61pMdqOQC5VWYKOrYGcD3NZGj6xe6m92lxpVxZCAjY02Sr5ONpJA5HtVK7jYC7dafb3QbeCsnBWRPvDH865++sLq1LMwDxcfvVUDk/3wOa6py4RyqkkBiqqQC2OQoJ45rI0i/1i/e8XUdHayRMCNnOVlBP3CG64rahWnS1WqRy18NGtFrY54HGD/wDqqFLa0inuLqKEJPcLsndWcmRcg4IJ29h0Haumv9HD5ktQBKSS0ZOEI/2fSsN4pIhMJIn82NGYQZCPIwHChm459a9mniadaN+p4UsLWoPlWzISaSRIpo2iljSSNsbkcZU455FOUl44XeB7eR1JkhkdZGjOcAbl4560oAwzZ4UEk+gAyeldV1KN+hx8s6dTlT1GqERURERI0UJGkahURR/CqrwBQOKSCW2u7ZLu2kLwtI8OWVkZZEAJUqw96UU4tNaE1IzjP95uBKl0kKIZEVkSQqpdVbghWIzR9aZNPbW5txN9oJnk8tPs8DTbTxy+0jAqV12MynGVYqSDkccZGamLjdpFVY1FFSm9BASOhNIXZjyc8YHYDvgAcUqjJAzjNQpLI811E9pPEISAsshUxzA90IpuSi1cI06k4Np6IkpdzYwCaTpTZpDBE0qW0ty4KgRQsqscnGSW9KqbSV2RRhKcuWLsxc1Ju96a4TIKhgCqttcgshIyVYrxx0opqzVyJXhJxEbqaNrelLnnNMuIkuYoo2muIfLlWXNvJsLkfwscdKiTaWhpRjGb992Hcg1G8Eb3UV35tyrxoU8pJCIHz/fTvVoQXEpzFBIQTxhTjntk1aj0i/ZSzKsYyBhzk/XArKpUp295nTRpV4tqktDP+vetSx0mS4Cyz5jhP3VHDv7nPQVoWelwW5DyFZZOuXHyqP8AZFaW0nBI5HTnt7V51fHX92mephctUHz1dRsMEUMflxgBcnG0YAP0FZl9rlvYXkNibe7kefYxljjLRKG4wCBz71sBQOAMA/n+NN2jABAzu+TOOT7V5l9dT2EkgVWK5zkkDHAByPesjUdZm0+6srVNKvbvzwrGWInYmW24BwQSOp5Fa4IDMQeSBgZOB+FLuGSGIBLYALAFsegpJ9xiGRs4CsOuM8AjnmsnU9T1OxuLSK00ie8juAplnibCpzjA9/rWwSQQDgnpj0PvVW5vre1GwENKxwqA9M/3j6U4JylZK5MpRgryJJZ4YId8jFUAH3sFt3Ye5rn77UDcmOJ7iCFJCUhidwklw3fC9aqSXv8AaL3UizNJ9ml8lwUZEVufubhz0qLyklkicxI8sWRE7KGdM8naTXrYfCpLnvr+R4uJxfNP2ck0vICCDj889qUFgOn5gEfrTirIw3A5PPP+NRgS+dcStcyvHKEEcDKgih290IGea9Fy2srnkQglzNuzQ4OxOTyfeoEtoYJLydDMZLnl/NldlXHZEPAqwjAH+WOoJ7gGo443jj8trie5kLMzSThAef4QEGMCiXxJWLg2qUmpDM5Xp2oP3U/4DR1FB+4vPYV0z3R4uH+GYvfipI5GikikABaN1dQRkEqQcGoxx0pf51ocUXZ3R0MmtWG86hFBP/aLR+WUkcm3TjG4DNZKXC3d7FLqMjOjMd5cnaPQYH8NVORRgGpqR5ouJ2rGVOeMpK6XTozqrg6SbSZc2wR4yAEKAnHI2gVyeMnoc+/WlwDwQKuaemnvMft8xSBF3gqCWdh/BkVyYbDvD31vc7sTi45g4xty2LWnWNzNNDdXNrNPaBS8jM+0Mijj5mPQelWrtJJrmC+8xL3TF4WOEYNqvvEvcVpprWnGJLOws5pwUKrCFwu3vndVbStPvbe9kml09o4ZD+62TD9wCejDPIrpnH2ice52UaUaDilqQXmqaeLdo4gk4kQqEH3QDwdwrP07Urm2KW7o1zbE5EPLSR/7ULdRW3qem6TczOkcscF4F3llH7oknAEmOATVKwWOxL211CIrgkku/CyqOhSQ8Yrh5FgabcFdnRKNbF4hc8lGKLVyljqaqyb5JY8ETIu28hI6CaHqwHrSA63Ftge1W5aTaIpo2xEQOD5npVN3ub24M9sRbQWj5+3E7cDHKj1p81/e6pcx2mnPIitHsmkzs8/HWRgOlaKnHFU1KrGzHPELDTcab3/ESeWO2uSIVS71dsIZVGYrY44SFRxketattpN9LFHJql3KZEG6NIX2CJjzvZl6t61NY6Zp2jwvNK6+bjMs8mOPZaqy3FzqeRmSGwbOFU7JZQP72ecGtalWGGhrt0Kp4eVZ3e/9bmZcadF9re7urmS5spCVkubXaXRhwPOVe3vipNVuNH+yW1t5i3dzHHst5kJRY4z0344zUrafcWhM+mOY2xh7djuilHcENVPyrG7mQiNLPUEcO1tMP9HuGHOFPvSo4inX+B6nPWo1MNePLox1pbyXBhvdUcmziURRrLnfMB0RAMce9UrqG2kuimmxzMjjKxthmDdSFxnj8an1G51O9ngs7m1SM8wxwoCoZX+U4bPSrMGnWvhuKAxxh7t9/wBniViY4WbqxJOTVSUlK3QIqlUpu25ibWUkMCrA4IOQQfer9vfX9ttG8OpG/wAuRhuKdCVyd1S5j1KVpby7ijlBWINAiOm/+7L5Z4NZ9/p62t8pnjRrqCMLFOuc+WwyMVz1acasfdV0XSbw7bm2jqLO/tbsERHDDG9H4bJ9PWrTnGGHAU849PoK4lXZWDIxVl5BB5FbVnrPKpd54G0SLyD/ALwrycRgZQ1hqj08NmMKnu1NGbwOMDk5596b5i5YKwcg4KoVJXPqAaRXSVVeJg6nOD2I+orNsNB03Try5vbdp/OuN2VklZ0G47jhTxXn27nrLU1RuA5OfSolu7R5DCs8LSrndGsis6445UHNTc9qy7XQdHs72bULe3ZbmbzC7F2ZcucsQp9aFYRp8YJ744rOkl0bUJpLFriCW6i3bo1cebGRwduK0uOAaoQ6Po9vePfw2caXT7syqWz833iATjmnF21BpNWZh3mlXVqC4/exZ+8g+Zf94VQBK8iu6Kg1j32kxT7pYcRynLbR9xj6EV6dDHfZq/eeNiMu+3R3OdLMQMnp26D8hTalngntn8uZCrdu4I9jUdevFxavE8Oakpe/uAZhnBI+lJRIZUhkeGHz5lxsi3hNx7/Mac4XCEAqWRGdCQSjEZKZHHFJSXNylypS9nz30G5oyTQMZpq/aTcsrJCLMRMRIHJm80DgbOmKcpKPQVOm6idnYWjntRT1xg427sHbuBK5xxnFVJ2VzOnDmly3I+e9OpqCUQxi4aJrnLeY0AYR4z8uA3P1p34iiMuZXsFWHJKydy1a2NxeMfKwsakbnbgD2xW7babaW68qs0oPLuOPoAeKvhIo8qgCr6Dgevaorq4tbWGSadxHEn3j7noB7185Wxc6vkj6rDYGnQXdki8AcjHoowBj2oB3ZK/e6cjGRXH3HjAPIYrFNka8edMC8j+4UcVly+IdUklZxfT7QORhIyjegHeue0meionogAAOAo7+vJpcOMEkc/oMVwFt4q1eN0MjpPEp+5Ku0kezrXYaZq1nqke+HKMMeZFJ1U+x9KHFoVmjQzwOeR1waydQ0VNQu7S8e9uojbbcRQvtjJU5z65PetYqAQ2cdjjv9aGY9hx3qbtAHOSByRjnHHNZWpaDY6rc2d1cSXSva42LDKUVsNu5ArRlmjhjMjNtUdMdSfSueudYa5aRLaZAsZZJFjfLgkY+YitqNOVR+6YVa0aUeZlzUNSeEeTbghgNrSsM9OMLnvWHvdyWYkseSSeSahgiS3Qxo0rKXaQ+dI0hDN1wWp05vNsP2QQlvMHm+dn/AFffbivco0lQhtqfN1qv1mrZS0JS7kYJOPTt9cUcFHQ52upUlSQcEYOCKCcHpxSCK+muIjCyG2RC08XllnYeoYdK2fw2SMaUZSqay1Q2KOKCGOCLf5ce7b5jF2yxyfmbmiZrpFjNrHbu5kAkFwWAEffbt711FrpFpGln5lq1w0675Zd+2OFTWTdafL9pufsUMslsjkIygkcdQDVyo+7ZaGl5xl7SWrKJ27iVHGeOaZuuBNKXlh+ymPEUax4lD+rPRM9xGYRFFA3z4uBPuDqo4+QDvTXI3H0z8o9B71EY87s+hlUq/V43Vm5dBMcD6UYygHTp+lITjOetXbHTb3UN7RgLGv35HOEB+tdTTlseXSTg2nq30K0UU0rrHEjO7dFUZJx6UOjxsY5EZXXqGGCPwNbltpWp2E0N3C8M8cTAu0DZOzocitu/XQrjymvjCGf/AFTA4bn+9irXmbPLVKN07M4bp1pcA1oLpdzPcXMdrtkhjc7ZicRkdhuPeoWspYbiOC7zCrHBc8qf900pyUIuTOKGFqTko23I4IZ7l1hiQHPfsPqa2hpdhaQO9xtc4+YuSpzjotTST6dp8MYQoSANqJjcx9SaxJ7m91GYLy3PyIv3VHvXjylVxT35YI+ijTw+Xx5bc9R/Mk0zUV027lmEZeKQNGVJ+ZUJ4wxrRTytUuGWxku7WJEaW53SMS+eyJmnWmlQW6+bc4Z8Zbd9xaoXeoBLuKWxPlmHI3gYDj0IHauulilOfs4K6XUidGWHpc+Ilu9EbyWFmNMlRZ5oIZJN1xLOu2aRV7c1ltrVlE5tktjc6eqhQtwd0m4fxKW5xVG81TUb8KZseWmPlUEJn1IrOJyT6n0rs5k9I6nJWxLVpR0Rfv8AUZbzbGqrBax/6qCPhR7nFVI5JonWWJ2V1OQyHBFQ7SfenYI6du1O0jznWhUlzST9TcOpQarFHb6jI8Uqf6q4TPllv+miVZS5vdOKpfjzLdgPJuYfmUj3Irm+G9j3q7a6jcWymFwJrZuHhk5Uj1U9q56tKnXXLNanpUcXUoPnvdd/8zq45I5UEqMGQ8qR/hVa9hsZ4C90NqryHPyunoQetZcf7pGu9MnzEvzTWsx+ZPpms+8vrm9YGQ4QY2xr93/9deTHLakKnuvTuevWzel7L3leT6EkmoSPG9u/75Eb/RZpMrNHjoQw5q3p9uSDe30clxaurRmRHLyQsP4iuc0yw0l5gs1yCsR5C/xN9a1VtJbSTzNPcR5GJIpPmhkHuDXfPHUoS9m38ziw2AxE/wB9JW8jLt4fDOntJLbCadnl84xBNitIOQZDVO9u/Pe6vrrzMDHyQoZHx0CooqfUbS6vrpYY2FhNJyHhYKjMPQn1qvc297aSbLhWD4A39nxxuBFUm5K1PRd0b1bKzqa+RC6xjYyElXVXXcpVsEZwynvTXcRxySGOSUqMiOLG9z6DNDFVVnkcKo6s5wB+NKpBCsrAqwBVlOQQardct9ThXuy9py+6WrXULi2CSQh0jcBmgmxlCeoOOK6G11C2ulGxgsmMlH6g+1cfcXMNu0CSiQmZ9gKKWAPqalyVYFWII6EHBriqYWnV0XxHpQxdWi+dr3Wdznp2J/Kso3HiEap5Qs4DpZH+v3/vAAOuPXPFU7LWZUIjusMnAD45H1reieKRVaNgyEZGOeDXkVKM6LtJHtUa8K0bwY7PQ4zWPcN4rGpx/Zksn0v5d+84lAx83vn0raOKo3WraZZzQQXNzHHLMQEV85bPAxWSubouICRkkgnnBPT2rJu7bxI+pW0tre28emrt86F0y7Y+9zitgHIBGCDyMdDTcgkj0oUrAQyQxXCyRSxgqOBuHr/dNY1zocgJa2cEdkfr+BrfI9DS44AznHrWlKvOk/cZhVoU6ytNHHSafqEQJaB8DuvNV3jlTl0df94EV3BIHWmPFFIPmVSPcA/zrujmUlujzp5VB7SOHo5966i40e1mHyDy3/vL0P1FYOoWOp2nlCIwCMS/vpHQtvT0X0NdtPHQmvM4p5bOL1encp/WlpWxk46UqkAiu++lzy0lzWvoMIPelwfShDKqyrLN5u99yZRV8of3QRS4P979KiMm1qrFVoRhK0Xc7hwSSOPauC8UyX2o6lBpkGRHCqu7Ftse49Xc+1d83JPPSuI8aW1xbwm5tlfbcSKLhkByFA7kdq+WpL3j7pMxJF8M6aDE0st/dYG/yyY4FPoAP8aqNqcauWt7CzA2gATRh+PesVNztnmriQnHWuv2aTu2XzXNewv9DnkaDVdPSIPny7nT2kjMZx0MeSMGtXToIbC8iubK7+02/m7FZTjr/BIvr6Vx8iOhyM8Guq8IadfTTvcurpaYBKuOJGByCAfSpqR0uhXtuegku3lsvA/iX2NBZcNk/dBJzS9P61matLHFEMZEknAwccd65qcXOaijCpNU4uTMm8u7meTLEiNWIRQOD71RjihDsY4443lYbyABuJ4yxqaKx1eQz3TSySWm0bUKgKgH92unhtLBoLTybSKeN1AnYtiRD3NfT0aSUUmrWPmaqlUk3GWjKM2gskMAgJkmcb5JGIEKqe2azrmwu7EobhAEb7rKcqfxrZ1GE2ccai5lOmSSBZFBy0Z9AetLb3+hypHZEyGONt8L3GSC47EmupwUtDFqEX2MGO11Iu09yF+xSOnlBU2uqjrg9TWzbLCkzy6T8k4QpJa3f/LVPVSaRnlFy39ofc3AWxT/AFIXtjHFRanPaIEMZH2kHKPGcMvvkVwKt7KoqUYvU7ZUoyputKSRbtLm91GaW0uCbWOFCzQRDYz+2TUd9qRhnsYrdLmFoGCyW4HDpnrxUNrqFte7I9QDJOvyxXUWVcf7xFWrZPsN1NNct9oSVQsF19/Z6Bq9FPU4VUdSCcOvUr39nFdLdalKj27SbUtoQvzO3TLD3rDuLa5tmRZ4yjOu4ZxnBrqLzV4LSEIJUvLkkshwNqZ6flXMTzz3UjTTuWdvXoB6Cm1c4MXOnDSPxEAXHJ5rT07VLiwLIAJLeQ/vIm757iqCqxzgZxyfangBDk9e3tWcpqOi3OfC0ajkqmy7nVWraWsy3drcNboQTPbvwrZ9FNZstnA91c310xhsixaOM/ekH+yp9ao6TZSyeeYbgSSJJ5ypctk+u1aZevfTTkXRYSKeEbhV/wB0dKmNRtXmj2q0bL91qSXeqSXKC3gHkWqH5I04Jx3YipLfU8xC01BPPtzwrEZkj9wazGQjnIPupB5/CkyRVJt6rU8yVdqX7z3ZGnc6Uyxi5tJPtFuehXmRB/tD2rStH0uyt1bcu/bubpvJrAtry6tXDwuRjqp5VvYitY/2brCgKEtr0DpgBJDXPXw/t0o3sjswuKp0nKdNXl5lK81C5vHaNGcRM3yoOrD3xV7TtIUBZrsZ7rGeg+tNso4NOklW+j2TKcxuwypH+yaZe6w8oMcHA6Fh3HtXDUVRP2FGNl3Oun7OC+s4uV5dES6rd20Ub20KozMCrFQMKKwljkYFlRio6kA4/OtOy0uW4IlmysZ55+81a1xPZ2UPlKis+35UUZyfcCiNaOHfsqXvSe4qmFnjf3+JfLFbIbpkUP8AZ8cllHbSXhb98LjGR7c1T12O0WS2MYjWZkzOsWCufwqnp8kR1CMzgiOVyGVSVAJ6dK2r3QElmMlm+0dWV+cnr8pNexd8uq1OGMPbUnGC02+45gqgKK0kaSSAmNCfnYDuBTM44PNSzrbw3UcdwUW4DGKIsOfwNXrTTkm3z3Mojt0JBwcs59q5qcnKTjIueF9nGPsUZwOOh6+h7Vfsv7Klj8i6DRTFsx3CnIB7BgafdaWUU3Fk/nQHkgffX6is3g8EYboQf61vdx0eqOT2ThK6Wvb/ACOlSe7sAiXY823OBFcR8rjtuxWkjxSKrowZSOCvNcraalc2o8psSwNw0UnIx/s5rRgQybp9LkOOTJbPkDPoteXiMujUvOlue7hMza9yfT7zSu4rSWNxOAAuWDk4KH1BqjYSzXMM8V8ok0+PcI55uJAB02k9aa32hgJdSISMH93bqfmZh/eqhf3dzc4Hypbp8qxxkbR/vYq8HReGVqj36FYusqvvxWxUniglaaJV8yAsdocdVHrUYVUCxogVVACqvQD0FDqZkWJZJIyXUhojhic9M1oiG40+5tp7qBjGpVj3B49a6Ixbndo4ZWlTVpeqGWtugmie+jlS2GSWKHBwOBmtIwaNfW8ki+XaMsnlxtuBLgdCQfWrFrePqSaspAZCn7iEgZAxVCKGTS4PPubeCRpGAWKT7647108qWpSVo23RQvbKWxlEchDBl3o69GFJa3txanMbZTuh6Ut5eTXsoklwAo2oq9FX0qkHm88x+SBDtyJN3f0xXNW5GuWS0JpKXM5U3ax11nqNtdjBISToVNTT6fp908Uk9vDLJFzE0igle4xXHDIIKk5HQjg1s6dqroyw3LEocBWbqPrXkYjBOHv0/uPYwuYc9o1NH3Oh28YBxgY44piqvBBzgY3E8/SnBgfmBBUjimjqRwAf515nqeqRXV3aWcTTXEqxxoMknv7CuWm8Yhi7WsSCNWKh5s8+hIFUdaj1DWNYeyiYR29uV86WRsRxg9SB3NQ3sHg/TQbaa9mvLhSAyxHCKB2wnH61rGmWkupM3irWc5zbumchljIHPbrWjZeMIGZI7+Dy84HmRHI+rKea5L7V4cBJS0uNoOcCRgT+taFnYeH9YWRbPUHt7xeVtr8AB8/wpJT9n5FOyPRoZ4J445YJFeNxlShyDSyRJKrJIoKEHINcdopvdMvRYyAqvKyox4BPRl7V2hJx0rF6PQiUehyWpWP2Sb5TmJ+UPp/s1QxXYahai6tpFA+YDcvsRXIEFSQRgqSD7Yr6LB13VhZ7o+Wx2GVKpeK0YhU0tRtDC0wnJk8wLtADEJ+IqXdXSpT6o46kKUbcsjuWAySOtMkijlRklVXVhhlYAgj8aEkjkXfEwZT3HOccUrYPU18ofanMXfgzSpZHltma3Zsnav3M/Q1Wj8HsOtyMA4+72rr/AJsnNNLIgLMwA96vnkx81jn7bwrpsThpiZmU5AYYX8hW/GiRqqRqFVQAoUAAfhUMl7aoCS4OPSs641lMEQKS3YmtI0atV2SMKuIp01ebNOe5igRnlb1GB1zWHJbajqLGeOMmLkR7jjj2q1HZC6jjur25K+cwEaL0yenFaEFxFaTQ6dcEDYN0EgOAfrXu4TBKl70tzx8TiPbe7tErSxve2EdrDKYLmBSjxk7ST0zVGKxvrG0eS7u2DwglTu5kPXBArZvfJaG6kuDEjKCYJIjh/bkVztrZajqEqpI8mwfMWlJxj2Brv9mnLme559bESpx9nBXuEt/qGprFbBBtBB2xg8n1Y1JNoeoRQeaoWT++kfLL3rWiW3hDwWIXcvyzy9wfSrEcLQqTFI29uWLEkN9c1zV8bToy5XuOjlc6656juzn7XU3twIblPOt+jI4yU+manudNguF+1ac/mRnl4s/OvsM1NqEOnyrKZcQXagsCvST3rGt7i5tHWSJmUn67W9iK6YNTjddTixUvZT9nU1RvWKaakRVcBzxIJBhgR6g1NDlbjNsyi1wftAl5jP8Au571TW70m7AlukMUyctsyA+PXFUb3UGuG8qEGO3UYVRxu+tclPCulUdVyuek8dTlSVOKQzUjZG7lNoAIv4sdN3fFVPkCl2YKi/eY9qb3xSg/KykZB6g9DXXUk+W8Tw6UISxD9psLKkMsJQOWilGdyEgn8RV+z0ue48oEFIVVQM9SB9adpdnDOQ8pARD8qDj9K1bu/gs1CxYZwNoA6V49WrPm5Kesu59LSpU/ZuVXSHRCSw6dYxNjCyAdQfmz2qnFfW1/GLXUFw3IinUcj6mqSxXmpTFhk5PJ7Ae1bUNjaWUe6XBbHzFquNRYVNTfNJ9DKPPi5qVNcsEYc2kmx8ww/vIHYv5iEtyfUVEioVdsbiFJUepFaI1Qw3L+Um+3bhozyD7irE9haXaCaxJjlblonGAc+ldqinBW0v0Oe8alRte9YwY8uiu8fluc5QnOKDLsniiMTlWBPmr0Qj3qWaGeF9kyMjeh7/Q1HJJHEoMjYBIAzUyi1FJsUHeo3GBt2V1c3EbW91bPc2w4Em3LJTX0xYZ0mt/31upy6fxp+Fammanpq2kKeYI2QDIx96muwW6k1Et5VuFAKHjzPciuvlUoW7j9nGMlJ7ori+e5f7LZJiQg5LAjYPWqoYaVfCS4dbrchDgYJU+lMGqxJqZu44sQsNjYHUeuKszWGm3kv2mC6VQ7BpEY59z1rGhhqdHWOpliMRUrrfVMkNrpmq5msWEN0pDbDxyDnkVSv9S1yOa3t1A3RsFkKHnHrUs4C3cS6WQHWPbK6/dHuTVm3hWFmK/vrt/9ZK/IUn0rStZRu3YvCzm5csY/5GSPsNy00t8S1yGxCpGNp9a2rHT7dIlLHex+brkA/Sq9zo6ShpEbEx5b0JrOhu7/AE+QxOCQOxycD1ry6sliY2oPX8zspylg5/7QtOjN2eKO23TxyCN+u3+Fz6EVSu7W1urJruSL7PcAZwP4vfAq1EqTqlzK4djyoP3EqU3XIWGATID87N0P+7XVhoyw9P8AfSDEcuKl+7RgW2k6jcx+asYCH7pkOC30zXS2TQQwRwDyoLiLAkVsAkDuDU0dza3apCd0ToQQmdvSquoizDotzAWZ8LFInXP4V2w5X70WYezVFeaI9as4ZoHvI2/eRD5ueGHtXNrZXEcQZbd0ilcMW5IyT1INdFiWOMLcSeYD/qoFHbtuqRW1DaSwjaMjiHHQegNctedGEk5vU2p06lZPlWhj6nb6fplnFKVkaVgG8xQTg9eAKktNZmmjQXMfn2rKAdy8oD3Nae+KeNoZIQ4XkxOBkfTNZV1eQJFJZW1qY2Y4YEc/hWtm2pJ6Gc1GnGyVmSXf2HT3im0+42zSfME3fLg84wazJ7m4uZfMncs3b0H0FPudJQQRXFy+JlIMMak7s+9W7RbYQeRf27IWOUmA6emSKlyfNaWiIlBSScfn2MoeYPM3srA/cwOlNyav3enyQfvI2EsJ5DLyQPwrHuXvFePyApjz+8z1qeX2a7mNS9SXvNIsMx2OEba+Dtbrg0xJZ9iCVg7qOXAxmk5PJ60taqjG/Mzy546cU6cNjpdHvhLEYXyWj9fStYc7jkgGuLtp3t5A6kgHAault71ZEXeeD/EK8HGYOUJOUdj6zLcfHE0knujj/GUN/asHtwy2sxLzPHn7/bOK4qJCxyec8+vNe3ywW15CY3VJI2GCDzXL3ngu1JL2knl5Odp5UfSuanVUFZns3ucEImxUDBo2BXIIPBHGPoa7Q+E9S6LJEV9easQeCd7BrufKgglUGAfxq/bR6gQeGJbnU2iE5d2tHVhMcksn90k134zzVWysLOwhWG2jVFA7Dr7k1aFckmm7oUncXHFYmpaUsuZYABJyWX+9W0TVDUr9NPiSRoJpizBcQruYZ74FXTqSpy5omNSlGrHlkjk5I5I2KOpVh1Bpfwrq3trW/gSRo9pdQRkYZc+tU/7Bi/56mvYhmEGvf3PCq5XPm9xqxrRxRwLsiXCjOAPfmkZlUb24A65otmaSNWc5YqCT+HtWZrUkiQvsYjjtXiRjzOx9DKXKrhPqLySLBaLukY4z1A9zTvskLOkV3cu8z/wISAPwFV9BAa4jYgFjGcn1raeGGN5XRAHY8sOv519LhcNTjBO2p4VatOUmm9DldUsJYrpUgklMcfzEKCc+xNadnbQrpss6RebcEEFT1FbKog8k7R87AN3z+dZ8jNBqjxwnZG4BZR0J+hrqjSjFtrqc85O6ctjBsJtWmuxHJC3k28nmIOwA9q6CeTS3k+0bfNuWQIsY5II9BVic+XDM6YVirZIArOsIolgaYKPNcsWfqSfxq4R5FbcxqVeZqKW4kNpFCxnujvkdt0UOSyp6DFaUFxKATPEqD+Ep1x71HaIjgyONz5PJzmrbKvTHFeNiMxnGfLBbHsYbAQULvqVGtPNZpbUhXPLY+631FUrjVTbb4nTEy8Y7Gr+5opSIyVBByB/9esmGKK6ur03CiQrnG7PH0xXWqNPFRVVqzOHE4iphn7OmypHb3epSh5CQpJ/AVq/Yo44hBMoeIdGA+Zak08ABlH3VYhR6CtBwNrcdj/KvPnjZ06vLHZHXSy+lKneere7OXutMlhBlgPmw9eOq/XFZv8Qrq7UBYbvHctnOT/OuXcDzX/3jXvXvC58xVowpV48vVjD1NC96UgZNKoHNS/hMqf8AHkOV5U+45X6GpbePz50WZzgnJLd6airkcURks1wCfu/d9q5Kk+XSO7PWpUPaLmlqlrY6Yz2VjDhCo2jt3rDnurvUZSiA7c4AHTHqaoszMTlifqSa6rSoIBAjBFDFck9zXJKnHCx9pLVs6IVpY6fso+7FFez0uG3XzJ8FsZ56Cq+o30SlEtTh0Ody9sduKtavJIsRVWIB64rHsIopJ13ru78k9amgnO+IqPboXiansmsLRVr9TWhuYtRgCX1uQ4GFlAxn3zWdc6RNlVVPPiY/KR/D9a6SSONbdgqgDb/SsbT7i4H2pfMbarNgHBx+ddmHxH1nmUlsFeisPyxu22NS2tNOjWSUCScAbVHQfQVm3d5c3TfvDhB91Bwo/CkvZZT5jFzu34z7ZqPAIBPcVvGt7/IjjxFK9LmT3FtYxNMkbHCsec1vHR7NUbBOSuc571zp+UqV4IIwRWk9zdeSv71untXJiY1HNOErFYKpSjTcakeZoWxvBp080Uiho2JBYcsBWvbiHLy2bB43O5kJyQfauVJLMSSSSTzVmxlmiuI/Ldl3MAcHg/hXc6XtoctQ48Pj1SnaC6nSm4eQlIY2DdGLAgLSrBaRxv54DMeWLdT7VcHKoT12g/jWYRv1AxtyiqGCnoD61zxoQwcHOKuz2/avEtRlszK1G7n4iijMMA4BHG6pbHVkRFilQ5Awu0ZzWzeQwtA+5FOBxkdKxtHggaWZmQFkYhScnA9qxpTjj4WmrWOarCrgKylTldPuaUcDTSpczKU2/NGo4IHqcVW1MXU0kTwOzPHyB2Fad0SEUA4HHSpIETYp2jJ61WIrrBRVOCOuGHWLu5s5m21Ge3nY3asxPGW7D2rbF7C6qYjvdvuqv9arazBB5Jfy13Dv3rN0olJJSpwQvHf+dYwoQxtqr0Od4mpgJewbuuhquRDIszfPeMCI0T+EH1qAtDA0k0iia+l4Cr0T2rOMsoupn3tuw3J56fWrejEyTTO/zMT1bk131pLD0fcWxyYet9Zr8si7bWbSMLi6O+U8qD91R6AVcaNCNrKCvv2FTgDnisvVJZY8BHKgqc4r5jnnXqLme59Q1CjBtIqSOUu0jsv3gY4liP3APWoNZgs42iaPCzPzIq9B+FXrZEhs3ljAWRlLM3Uk46kmufkZ5CzuxZieSTzX1lCDhBRbufGY+upX03IselFOwOaZ3qruR5/s4U43lqKRUsNxJDwDle6mox1pWAxmlfozaCsvaUnZmxa6kqYw2B3U1qxX9vK23cMmuRwKASrAqSD7E1wV8vhU96OjPTwueTT5aiudwjRtwpGPY1Jx0rkba4uFxiRuvrW7ZSyv95ifrivGrYd0up9JQxUa3Q0enQ0GlAHpWVr001vYyyQuUcDgjqOfeuU7DTzSOqleQPxxVLSJJJrS3eVizMikk9ycU7WSUsLlkJVgjEFSQR+VAWLi7cdQQPTpUmB6VjeHWaSwjaRmdvViSfzNbJJyfqadrieh/9k=” alt=”” class=”wp-image-136″ >
Applications of Immersion Gold and Gold Plating
Immersion Gold Applications
Printed circuit boards (PCBs)
Fine-pitch components
Ball grid array (BGA) packages
Chip-scale packages (CSPs)
High-frequency applications
Gold Plating Applications
Electrical connectors
Contacts and switches
Jewelry and decorative items
Medical devices
Aerospace components
FAQ
1. Is immersion gold more expensive than gold plating?
No, immersion gold is generally less expensive than gold plating due to its thinner gold layer and simpler processing steps.
2. Can immersion gold be used for multiple reflow cycles?
Immersion gold is not recommended for applications requiring multiple reflow cycles, as the thin gold layer may degrade over time. Gold plating is more suitable for such applications.
3. Is gold plating more durable than immersion gold?
Yes, gold plating typically provides better wear and abrasion resistance compared to immersion gold due to its thicker gold layer.
4. Can immersion gold be applied to any metal surface?
Immersion gold is primarily used on nickel-plated surfaces, as the nickel layer acts as a barrier and promotes the adhesion of the gold layer.
5. Is it possible to convert an immersion gold surface to a gold-plated surface?
Yes, it is possible to gold plate over an immersion gold surface. However, this requires additional processing steps and may not be economically feasible in some cases.
Conclusion
Immersion gold and gold plating are two distinct surface finishing processes that offer unique advantages and disadvantages. Understanding the differences between these processes is crucial for selecting the most suitable finish for a given application. By considering factors such as gold thickness, cost, shelf life, and application requirements, manufacturers can make informed decisions and ensure the optimal performance and reliability of their products.
Leave a Reply