M3 排檔頭-4
M3 排檔頭
儀錶板上導航
M Performance Logo
F20 Cruise
F20 Cruise
F20 Sport+
F20 Cruise
F20 Cruise
F20 Cruise
F20 Cruise
E87 原廠排檔頭
E87 改裝M3排檔頭
E87 改裝M3排檔頭
Before TPMS Disabled
After TPMS Disabled
F10 550 Remote close Trunk
F25 X3 Remote close Trunk
F20 / F30 方向盤
F20 / F30 方向盤蓋
F20 / F30 方向盤
F30 318d 改裝換檔撥片前
F30 318d 改裝換檔撥片後
F30 318d換檔撥片測試
F30 318d定速測試
E92 335 歐規儀表改裝
F20 打方向燈霧燈亮
F20 轉方向盤霧燈亮
E92 335改M3儀錶板
行李箱按鈕-改裝前
行李箱按鈕-改裝後
行李箱按鈕-影片
F20 方向盤改裝 Tip
F20 方向盤改裝 Tip
E60 儀錶板
E60 M5儀錶板
E60 M5儀錶板-編碼前
E60 M5儀錶板-編碼後
F20 F30 高音喇叭安裝
F20 F30 高音喇叭安裝
F20 F30 高音喇叭安裝
F20 F30 高音喇叭安裝
F20 F30 高音喇叭安裝
F20 Alpine Hi Fi 套件
F20 Alpine Hi Fi 套件
F20 Alpine Hi Fi 套件
F20 Alpine Hi Fi 套件
F20 Alpine Hi Fi 套件
F20 Alpine Hi Fi 套件
F20 Alpine Hi Fi 套件
F20 Alpine Hi Fi 套件
F20 Alpine Hi Fi 套件
F20 Alpine Hi Fi 套件
F20 Alpine Hi Fi套件
F20 Alpine Hi Fi套件
F20 Alpine Hi Fi套件
F20 Alpine Hi Fi套件
F20 Alpine Hi Fi套件
F20 Alpine Hi Fi套件
F20 Alpine Hi Fi套件
F20 Alpine Retrofit Clip
E90 USB
E90 USB
USB
Audio System
F02快速收折後照鏡
M Logo - NBT
F30 Wiring Layout-S
IMAG2606-S
IMAG2610-S
IMAG2759-S
IMAG2761-S
IMAG2783-S
IMAG2801-S
VIDEO0310.mp4
IMAG2757-S
F30 Coding
E84 X1 Alpine
E84 X1 Alpine Hi Fi Set
E84 E90 Alpine Set
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請問店家在哪裡?因為美規沒有電折,所以看到版大可以編碼,想請教一下!
常見的半導體材料有矽、鍺、砷化鎵等
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晶片測試
晶片處理高度有序化的本質增加了對不同處理步驟之間度量方法的需求。晶片測試度量裝置被用於檢驗晶片仍然完好且沒有被前面的處理步驟損壞。如果If the number of dies—the 積體電路s that will eventually become chips—當一塊晶片測量失敗次數超過一個預先設定的閾值時,晶片將被廢棄而非繼續後續的處理製程。
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晶片測試
晶片處理高度有序化的本質增加了對不同處理步驟之間度量方法的需求。晶片測試度量裝置被用於檢驗晶片仍然完好且沒有被前面的處理步驟損壞。如果If the number of dies—the 積體電路s that will eventually become chips—當一塊晶片測量失敗次數超過一個預先設定的閾值時,晶片將被廢棄而非繼續後續的處理製程。
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步驟列表
晶片處理
濕洗
平版照相術
光刻Litho
離子移植IMP
蝕刻(干法蝕刻、濕法蝕刻、電漿蝕刻)
熱處理
快速熱退火Annel
熔爐退火
熱氧化
化學氣相沉積 (CVD)
物理氣相沉積 (PVD)
分子束磊晶 (MBE)
電化學沉積 (ECD),見電鍍
化學機械平坦化 (CMP)
IC Assembly and Testing 封裝測試
Wafer Testing 晶片測試
Visual Inspection外觀檢測
Wafer Probing電性測試
FrontEnd 封裝前段
Wafer BackGrinding 晶背研磨
Wafer Mount晶圓附膜
Wafer Sawing晶圓切割
Die attachment上片覆晶
Wire bonding焊線
BackEnd 封裝後段
Molding模壓
Post Mold Cure後固化
De-Junk 去節
Plating 電鍍
Marking 列印
Trimform 成形
Lead Scan 檢腳
Final Test 終測
Electrical Test電性測試
Visual Inspection光學測試
Baking 烘烤
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有害材料標誌
許多有毒材料在製造過程中被使用。這些包括:
有毒元素摻雜物比如砷、硼、銻和磷
有毒化合物比如砷化三氫、磷化氫和矽烷
易反應液體、例如過氧化氫、發煙硝酸、硫酸以及氫氟酸
工人直接暴露在這些有毒物質下是致命的。通常IC製造業高度自動化能幫助降低暴露於這一類物品的風險。
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Device yield
Device yield or die yield is the number of working chips or dies on a wafer, given in percentage since the number of chips on a wafer (Die per wafer, DPW) can vary depending on the chips' size and the wafer's diameter. Yield degradation is a reduction in yield, which historically was mainly caused by dust particles, however since the 1990s, yield degradation is mainly caused by process variation, the process itself and by the tools used in chip manufacturing, although dust still remains a problem in many older fabs. Dust particles have an increasing effect on yield as feature sizes are shrunk with newer processes. Automation and the use of mini environments inside of production equipment, FOUPs and SMIFs have enabled a reduction in defects caused by dust particles. Device yield must be kept high to reduce the selling price of the working chips since working chips have to pay for those chips that failed, and to reduce the cost of wafer processing. Yield can also be affected by the design and operation of the fab.
Tight control over contaminants and the production process are necessary to increase yield. Contaminants may be chemical contaminants or be dust particles. "Killer defects" are those caused by dust particles that cause complete failure of the device (such as a transistor). There are also harmless defects. A particle needs to be 1/5 the size of a feature to cause a killer defect. So if a feature is 100 nm across, a particle only needs to be 20 nm across to cause a killer defect. Electrostatic electricity can also affect yield adversely. Chemical contaminants or impurities include heavy metals such as Iron, Copper, Nickel, Zinc, Chromium, Gold, Mercury and Silver, alkali metals such as Sodium, Potassium and Lithium, and elements such as Aluminum, Magnesium, Calcium, Chlorine, Sulfur, Carbon, and Fluorine. It is important for those elements to not remain in contact with the silicon, as they could reduce yield. Chemical mixtures may be used to remove those elements from the silicon; different mixtures are effective against different elements.
Several models are used to estimate yield. Those are Murphy's model, Poisson's model, the binomial model, Moore's model and Seeds' model. There is no universal model; a model has to be chosen based on actual yield distribution (the location of defective chips) For example, Murphy's model assumes that yield loss occurs more at the edges of the wafer (non-working chips are concentrated on the edges of the wafer), Poisson's model assumes that defective dies are spread relatively evenly across the wafer, and Seeds's model assumes that defective dies are clustered together.[25]
Smaller dies cost less to produce (since more fit on a wafer, and wafers are processed and priced as a whole), and can help achieve higher yields since smaller dies have a lower chance of having a defect. However, smaller dies require smaller features to achieve the same functions of larger dies or surpass them, and smaller features require reduced process variation and increased purity (reduced contamination) to maintain high yields. Metrology tools are used to inspect the wafers during the production process and predict yield, so wafers predicted to have too many defects may be scrapped to save on processing costs.[26]