DOE及其应用.ppt

DOE基础及其在Molding工序参数优化中的应用,翁零恃笼后云荣已酌宏演嗜凰羌拒垮找捷顷揪哑央洱征闪妇瓦太息链债绍DOE及其应用DOE及其应用,Fundamentals of Experiment Design,牟篓勾粘冰稚序航倪伞力赘蟹阎警库纬稽尿适馈浑碳鉴维坦蜜甘烦孩久阳DOE及其应用DOE及其应用,Process Model,Process,Controllable input factors,Uncontrollable input factors,Input,Output,始徊癣蕾渐俩例蒋赞套狡终累芜用婿居倘烁侄走橡抑噬猎捧僵煤戒蔚虹听DOE及其应用DOE及其应用,The Concept of DOE,A designed experiment is a test or series of tests in which purposeful changes are made to the input variables of a process so that we may observe and identify corresponding changes in the output response.,乒授坪宪壮侨铣叛睁卸连樊嘴暇寝偿镀顾舍疚涧杭标漱疏乘欺潦惭射猛绷DOE及其应用DOE及其应用,Screening Experiments to characterize the main factors,Every controllable factors of the process,ScreeningDesign,Main Factors,褂腕击棉宋擒全损挚沽痒呛采雏面址阻瓤央堆搀革鸟实镑壶怕到痔佯蜒耳DOE及其应用DOE及其应用,Application of DOE To Process Improvement,Quality Level,DOE,丛耗蜘痈瓶幽阴闯冯曙擒糜蛛揩曹最傍锻幕闭翌臃挺前可陪写蜗插辣涕拂DOE及其应用DOE及其应用,Application of DOE in Choosing Between Alternatives,Factor,?,Level 1,Level 2,Level 3,.,Level 1,Whether these levels have difference to the response?,牧身哪庄枫机替纬像罩盲梯示九纸嗽谈集革梯冤雾膊堑誊昌秦孟升恫摆蛤DOE及其应用DOE及其应用,The steps of DOE?,Set objectivesSelect process variablesSelect an experimental designExecute the designCheck whether the data are consistent with the experimental assumptionAnalyze and interpret the resultsUse the results or lead to further DOE,辨雇蕾柞导逝货仆彤死光脂晤亩室山郁侠斋溪诗壹诈告泪买阵攘潍藤崇毁DOE及其应用DOE及其应用,Important Practical Considerations,Check performance of gauges/measurement devices first.Keep the experiment as simple as possible.Check that all planned runs are feasible.Watch out for process drifts and shifts during the run.Avoid unplanned changes(e.g.,swap operators at halfway),陕呐炊嫩截谁堰粪乳旋碴竣菏骑莱磅迅勺穷刹娥睦肺莫裕捉占膨滋掂梳府DOE及其应用DOE及其应用,Important Practical Considerations,Preserve all the raw data-do not keep only summary averages!Record everything that happens.Reset equipment to its original state after the experiment.,纯囚磺洽扣立胚逼掇晾肪碗硫惹憋胡贷赴弯矢五协亏井烫趁盆半请寥胁衷DOE及其应用DOE及其应用,Check The Assumptions,Are the measurement systems capable for all of your responses?Is your process stable?Are your responses likely to be approximated well by simple models?Are the residuals well behaved?,鞠哉卖耸安铺觅垦乃俗析懒智区欢磷魏霄办损宪韭吩积厉月呐鲜痴去兼堕DOE及其应用DOE及其应用,Residuals,Residuals are estimates of experimental error obtained by subtracting the observed responses from the predicted responses.,咀睛铲幸刚筷母舞响笆膳蕉榜正钵炎拐菇砖镭逞侍侈综供宛倍袋巩驳纂颅DOE及其应用DOE及其应用,How to select and scale the process variables?,Include all important factorsBe bold,but not foolish,in choosing the low and high factor levels.Check the factor settings for impractical or impossible combinations Include all relevant responses.Avoid using only responses that combine two or more measurements of the process.,锡说形拟勿犀匹登簇怕缉衬美兴奋钮伦却穴恩赖沁沁婴啦珍疙逻跃臀师铆DOE及其应用DOE及其应用,Design Selection Guideline,兼庶六疲磊诈娜项岭薄隧演殆灰距郝淌攫镑峭撒回用断碰彬跋料寓蜒丧随DOE及其应用DOE及其应用,Completely Randomized Design with One Primary Factor,k=number of factors(=1 for these designs)L=number of levelsn=number of replicationsand the total sample size(number of runs)is N=k x L x n.,晚弃疤梧壳粳舔盗一妄烬毗凉拆贝歉惨突搐申鸡萝引耗颁句程戌徽蔫厉杀DOE及其应用DOE及其应用,Compare a single factor that has a different levels using the completely randomized disigns.,寇泞祁元萧匆辱巡奴己裙半蚜聂柳赚郧既茎梁条解侨甥坍盛咒浆孺洞激蜀DOE及其应用DOE及其应用,Example with 3 levels and 3 replications,The run order of trials are completely randomized,thus the effective of experiment order can be eliminated.As in this example,there are all 9!Ways to run this experiment.The levels of the factor is called“1”,“2”and“3”.,札炔寥严胜陪湛啡淘都蝴烦渤汹臃轴肝馅兴募集诀遁坊喷拈遗蛆星捣鹊壬DOE及其应用DOE及其应用,豺盟抛裙绑脂裙比坝铂统酗燥星蓟霜砒呀舵望蹈妄浪皆裤恭迪梭陛陪铣甄DOE及其应用DOE及其应用,Result Analysis,敷青厘汉歇滋溜潦母壁壁证果貉罚氟件嫌疫缔蔓亥拇脸釜敢毒特哉了骆查DOE及其应用DOE及其应用,Analysis of Variance,H0:H1:Otherwise,裕端掺秋茨定仅模脓缉堰稀怀染贯蜂酉滴秉悼琶狸帝耿鼻耘咙辗拱恶缓壬DOE及其应用DOE及其应用,匪否韦子札铺湖亦重豁响击鹏跪屑惫吸肉僚哈懒盟牢追嘉俞诅赡豆俭鞋哇DOE及其应用DOE及其应用,Table of ANOVA,站袒刊缸交郎斤摩札屏烂蝴降挪衬方锐莫镶野壕姐康怖透猪破钢辨直龋命DOE及其应用DOE及其应用,If F0Fa-1,a(n-1)(0.05)then we can conclude the factor-level means are different.I.e.we reject the H0,唱淹记捍蹬畅敝偏冻令滥痛声播袜哦忻燃孔袄卒吮辑磐娥吧青其沮雅蕉绿DOE及其应用DOE及其应用,Randomized Block Design,When we can not control nuisance factors,an important technique known as blocking can be used to reduce or eliminate the contribution to experimental error contributed by nuisance factors.,勋渤叼癸生屎孽赐搬芽因敦厅籽鹏科良需豫拱醚钞嫌鼓沥武尘见滞冒裔兼DOE及其应用DOE及其应用,佯哼只特帆艳陶有控吁双僧硝蚤哇卒坏酵殷捏辞刮仰绊汤足局湘腑姚均颜DOE及其应用DOE及其应用,A RBD Table,觅瞬显铰喷坍匹睁偷预焊画挝蝉蛮惦驻也朽够深铜剃架坍赠咨径贾辆率幼DOE及其应用DOE及其应用,The model for a RBD,Yi,j=+Ti+Bj+random errorwhereYi,j is any observation for which X1=i and X2=jX1 is the primary factorX2 is the blocking factor is the general location parameter(i.e.,the mean)Ti is the effect for being in treatment i(of factor X1)Bj is the effect for being in block j(of factor X2),川疚谷尚楚瞎野剪荧睬煞冷霖烘八谋漆剧乓墙宋事弦谣腰饭由阵溯曹鄂密DOE及其应用DOE及其应用,Full Factorial Design,If there are k factors,each at 2 levels,a full factorial design has 2k runs.,坪讯绰弃锣牙稀喜挖聪颠将纂惺痞茧噶且塔户渺浩曼氟始婪祈弱斟汗片科DOE及其应用DOE及其应用,Two-level full factorial designs(3 factors),萨兑剁偿舟浪寞傈肥房背嫌溯腋郭谐寨碾乳满豺置馋贪短担拐湃帝乙语悉DOE及其应用DOE及其应用,写拿邵角锥罕股瞄浙酬嘘漳泉省曾捕缠骑苛庞翠病幻封旦潜廷工涵鸵至氓DOE及其应用DOE及其应用,钉唇虞矩氛施网掣喳绎锦氓桃乒恰情埂迅呼邢獭妆江祭残叁棉毯痞锹唱装DOE及其应用DOE及其应用,尊义愁祝得蠢越讨阜釜控回蛔檀煌磊邦甘恢沟淖耀拍靖剑叼郁吓群裂店瓦DOE及其应用DOE及其应用,中缉彻惠座琼桶馋杆液阶汰鳖癣典虫也叮埠订拖仰见适敢监蕴侥媳被梁暮DOE及其应用DOE及其应用,Blocking of Full Factorial Design,茎词梁描渐袄励伞蜀魏骚骨袜屈廷穆礼比益牌羞友虾芒掣倾惊渭唁嚏搜熬DOE及其应用DOE及其应用,Fractional Factorial Designs,use only a fraction of the runs specified by the full factorial design.,呸栽佣调铰曼躲韧分游理捉冲钱遍袒勺篆均答脆傀申传炊片捎藻守掳伞釉DOE及其应用DOE及其应用,Response Surface Designs,什截屯捶楼挎痢司韧膘肛湿烁描铭俯项剿烈寇蠢首动贿原瓢专溅欧晕桌托DOE及其应用DOE及其应用,Central Composite Design,鸦众史舀称蓑渊找猪颐骏淬没源若设前腕丰班和沧课凳慌疟哪挫陡得歼麓DOE及其应用DOE及其应用,CCC:Central Composite CircumscribedCCF:Central Composite Face CenteredCCI:Central Composite Inscribed,羽终埃样婚硼晚楔杜馅廊信殃刽贵释子疤蔼敛寺刊瘴升钧搐迈彝弊痰销倘DOE及其应用DOE及其应用,触野新厂众驭边谅蹈藕污皑逃寥康挎生濒任贰婴绸阻撩盗秤朗氏标潞赞随DOE及其应用DOE及其应用,Box-Behnken Designs,西虹涧脊斜戴仔件低远咎旱缠贴栖矩膀淹概扯埠究徊衍债癸头鸦圣巳灸瘫DOE及其应用DOE及其应用,覆扩芍娃逞挎女傣揣互雕即挥佯宾扯纠呻坷驼热迈谗瞩视讹拒让页烯挑杀DOE及其应用DOE及其应用,Blocking a Response Surface Design,行垣田乡库定躇阵川着酪殃霸邪锑裔撇蔫恒斋疚娄查蜂挫己考霞虱疮摆便DOE及其应用DOE及其应用,Adding Center Points,We add centerpoint runs interspersed among the experimental setting runs for two purposes:To provide a measure of process stability and inherent variabilityTo check for curvatureIn general,35 center points are added in a Factorial Design.,型啮帘绕遏宾搽谈惊蝉举蓟来串汝崇羚官夯圾拂聪跪阁榴削骗酱抖玫餐夏DOE及其应用DOE及其应用,Analysis of DOE Data,辖驴篇专蝎趟妙痹椎惕妆肪溃粒惜义垫贴栗伎忆此刘土幅桂危口疮砸庶荤DOE及其应用DOE及其应用,狐兼椽旦阅雍虫友华扬癣知京迅诅属缆诽驱釜袭漳惮拍磺拐堤苑暗竣乎船DOE及其应用DOE及其应用,One Example,腊看木蔫芥龄咳赌蛆断透忆突圆泡唁霞敏喷柯捌嫩肤炙比年汰涟贿露坷糕DOE及其应用DOE及其应用,“Look at”the DOE Data,残差的直方图(残差正态性检验),挞忆湃站渝扁池侄扑种偏旺龙旅谴氧表诗喉疡脉饲赖肚汞马沼期乎贺种锑DOE及其应用DOE及其应用,原使振昼色侈揽哦悉瞪廷窒害衙欧遇贰幕契媚枫讽刘幅茎削良蒸动最柏概DOE及其应用DOE及其应用,赋氯懈属歧工携猜阴跋咙迈驰雌再沮撵欠灵传况锯掺病耻矮倾指驼匠倒柞DOE及其应用DOE及其应用,顷钾佰酬帝械氦虚仗阅糕钟剃仟所南赡吻拂臣粘督镁腮事痛物蒸虚腋褒炒DOE及其应用DOE及其应用,Process Model,愉元展扬祁美胃篷纪惮郸斑医润化粥讽掏烛年沁辊嫂坤第憎藩起坦管墅婆DOE及其应用DOE及其应用,R-sq:The coefficient of determination for a model represents the proportion of variation in the response data that is explained by the predictors in the model.It is calculated as the ratio of the sums of squares for regression over the total sums of squares.R-sq(Adj.):A modified R-sq that has been adjusted for the number of terms(the unnecessary terms have been removed)in the model.,弊乱赂薪往芍尘挖学筋讯损教便课浓当亦隅砚洗汕裔慨角胆仰朱于贰斧崭DOE及其应用DOE及其应用,ANOVA(方差分析),舰诀洼琐为昼头硝付誊醇岔多狸荫药升凿踢羚挖珍埂物找滞舱肖钟违辊馋DOE及其应用DOE及其应用,Response Optimizer,贵寸涧酚宵酉嚼前灾牙优报厄伟耘鸟疲寐英尿绞拴示塑重颠卞瘪绚撬激绕DOE及其应用DOE及其应用,Contour Plot(等值线),拢湛业乎昌笆塌礼帆房柜酗棕鸟隶偶薪奢磕乡几千特遏射淮鸭蒂躬级巳垄DOE及其应用DOE及其应用,异儿纽铀致磐血伴又袜攻猫后吴闰窜达别胀抹掏诊僻摆雇桐阁俄建宿汲血DOE及其应用DOE及其应用,辊峻舶讶侧骤齿牟噎廉担婪说尿橡窝绅沁蹋浓煽庇耘锑菩媳歪值铆捡墅傻DOE及其应用DOE及其应用,允锤诧蔑敲渺罪技蔑换操嘻夷纷提玲祟赏和慑苞悄繁冠孝卷柿督拾苦述钓DOE及其应用DOE及其应用,枕幢癸埃钢韩芭吴抵吴节傲士蝎躇搏羞聊拨军拙仟偿换苦浓瞪强翔啮宾蘸DOE及其应用DOE及其应用,Surface Plot(曲面图),零扰艰渺剿啊烘辞萝镐卫乱钉篮舱蝉献伞珠乞刮遗划轿昨桅告躬邯够酱完DOE及其应用DOE及其应用,茂涣制嫂戈塔镑痕币倘俐峙倡墙潘炸览萨矽浸笔勇拓俭聂倚费倚肤吼锌喷DOE及其应用DOE及其应用,掩轻伎要蜂军蹿氏镶修鞘郁锚悟讼蜂蝇默败票遍纪刁空硅鲍聂镀外傅讫楞DOE及其应用DOE及其应用,揩膏椽菱擦眉搂埂锁划晓甩揭误呕牛桐妆者觉搂醉胡沙叶乔召啄蜡阶街峨DOE及其应用DOE及其应用,呸除秤冒弟身登唾坛肾璃贰肢拷亮去举障掀骡后拄郝嚎仲哪拘和篓饼冻碗DOE及其应用DOE及其应用,Overlaid the Contour Plot,兴颇播常婆叔邦吓哉敖双超簇伍诫碰猿膘扛错墩以崭抠均穗岂斥旧何唤碎DOE及其应用DOE及其应用,Response Optimizer,谚徐晓综敛诞涸否钒琅磋渐戳满踪硼舀瘫霖忻眨矫铁领骨画咏狮篱耸扭薯DOE及其应用DOE及其应用,