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編 號(hào) 無錫太湖學(xué)院 畢 業(yè) 設(shè) 計(jì) 論 文 相 關(guān) 資 料 題目 手機(jī)外殼的注塑模具設(shè)計(jì)與加工 信 機(jī) 系 機(jī) 械 工 程 及 其 自 動(dòng) 化 專 業(yè) 學(xué) 號(hào) 0923275 學(xué)生姓名 陳 兵 指導(dǎo)教師 王士同 職稱 教 授 職稱 2013 年 5 月 25 日 目 錄 一 畢業(yè)設(shè)計(jì) 論文 開題報(bào)告 二 畢業(yè)設(shè)計(jì) 論文 外文資料翻譯及原文 三 學(xué)生 畢業(yè)論文 論文 計(jì)劃 進(jìn)度 檢查及落實(shí)表 四 實(shí)習(xí)鑒定表 無錫太湖學(xué)院 畢 業(yè) 設(shè) 計(jì) 論 文 開 題 報(bào) 告 題目 手機(jī)外殼的注塑模具設(shè)計(jì)與加工 信 機(jī) 系 機(jī) 械 工 程 及 其 自 動(dòng) 化 專 業(yè) 學(xué) 號(hào) 0923275 學(xué)生姓名 陳 兵 指導(dǎo)教師 王士同 職稱 教 授 職稱 2012 年 11 月 12 日 課題來源 某模具公司提供 該產(chǎn)品為手機(jī)背面外殼 要求設(shè)計(jì)一套模具來生產(chǎn)它 預(yù)估產(chǎn) 量比較大 所以設(shè)計(jì)為一模兩腔 科學(xué)依據(jù) 包括課題的科學(xué)意義 國內(nèi)外研究概況 水平和發(fā)展趨勢(shì) 應(yīng) 用前景等 1 課題科學(xué)意義 眾所周知中國很早就開始制作模具和使用模具 但長(zhǎng)期未形成產(chǎn)業(yè) 不過從上個(gè) 世紀(jì) 80 年代開始 在國家產(chǎn)業(yè)政策和與之配套的一系列國家經(jīng)濟(jì)政策的支持和引導(dǎo) 下 我國模具工業(yè)發(fā)展迅速 年均增速均為 21 至 2005 年我國模具總產(chǎn)值約為 610 億元 其中塑料模具約 30 左右 在未來的模具市場(chǎng)中 塑料模在模具總量中的比例 還將逐步提高 模具技術(shù)的進(jìn)步極大地促進(jìn)了工業(yè)產(chǎn)品的生產(chǎn)發(fā)展 模具是 效益放 大器 用模具生產(chǎn)最終產(chǎn)品的價(jià)值將超過自身價(jià)格的幾十倍乃至百倍及上千倍 據(jù) 各國報(bào)導(dǎo) 模具工業(yè)在歐美等工業(yè)發(fā)達(dá)國家被稱之 點(diǎn)鐵成金 的 磁力工業(yè) 雖 然我國模具行業(yè)已經(jīng)駛?cè)氚l(fā)展快車道 但由于在精度 壽命 制造周期及能力等方面 與國際水平和工業(yè)先進(jìn)國家相比尚有較大差距 所以還不能滿足我國制造業(yè)發(fā)展的需 求 特別是在精密 大型 復(fù)雜 長(zhǎng)壽命模具方面 中國與國際平均水平和發(fā)達(dá)國家 仍有較大差距 因此 每年尚需大量進(jìn)口 不過當(dāng)前全球制造業(yè)轉(zhuǎn)移的規(guī)模不斷加大 中國已成為世界上最大的制造業(yè)之地 并正向深度和廣度延伸 而我國的模具制造業(yè)正是承接轉(zhuǎn)移的較為理想之地 目前國 家正在大力支持具工業(yè)的發(fā)展 在多重有利條件下 我國模具行業(yè)的未來將展現(xiàn)出一 派美好景色 研究?jī)?nèi)容 調(diào)查 研究 查閱文獻(xiàn)和搜集資料 閱讀和翻譯與研究?jī)?nèi)容有關(guān)的外文資料 撰寫開題報(bào)告 掌握 CAD UG 等模具設(shè)計(jì)方面的軟件 詳細(xì)設(shè)計(jì)內(nèi)容 澆注系統(tǒng) 冷卻系統(tǒng) 頂出系統(tǒng) 機(jī)構(gòu)系統(tǒng)等 或研究方法 設(shè)計(jì)或有關(guān)計(jì)算 撰寫畢業(yè)設(shè)計(jì) 論文 擬采取的研究方法 技術(shù)路線 實(shí)驗(yàn)方案及可行性分析 1 實(shí)驗(yàn)方案 模具課題的研究很難用準(zhǔn)確的數(shù)學(xué)模型來描述 他很大一部分靠設(shè)計(jì)人員的經(jīng)驗(yàn) 所以我們從傳統(tǒng)的將其分為四部分 1 設(shè)計(jì)前準(zhǔn)備工作 明確設(shè)計(jì)的要求以及必要的設(shè)計(jì)資料 研究材料的工藝成型 性 2 方案設(shè)計(jì) 確定模具結(jié)構(gòu)包括結(jié)構(gòu)類型 型腔數(shù)目 分型面 澆注系統(tǒng) 排 氣方式 冷卻系統(tǒng)等 3 零部件的設(shè)計(jì) 排氣結(jié)構(gòu)設(shè)計(jì) 成型零件設(shè)計(jì) 溫度調(diào)控系統(tǒng)設(shè)計(jì) 模架選 擇 頂出機(jī)構(gòu)設(shè)計(jì) 模具材料選擇等 4 后期階段 繪制零件圖以及總裝配圖 使用說明書 2 研究方法 本課題的主要通過 AUTOCAD UG 等軟件的輔助設(shè)計(jì)將模具各個(gè)零件繪制出來 以構(gòu)成各個(gè)系統(tǒng)與結(jié)構(gòu) 在通過對(duì)結(jié)構(gòu)的分析修改以達(dá)到可以加工產(chǎn)品要求 研究計(jì)劃及預(yù)期成果 研究計(jì)劃 2012 年 12 月 12 日 2012 年 12 月 25 日 按照任務(wù)書要求查閱論文相關(guān)參考資料 填 寫畢業(yè)設(shè)計(jì)開題報(bào)告書 2013 年 1 月 11 日 2013 年 3 月 5 日 填寫畢業(yè)實(shí)習(xí)報(bào)告 2013 年 3 月 8 日 2013 年 3 月 14 日 按照要求修改畢業(yè)設(shè)計(jì)開題報(bào)告 2013 年 3 月 15 日 2013 年 3 月 21 日 學(xué)習(xí)并翻譯一篇與畢業(yè)設(shè)計(jì)相關(guān)的英文材料 2013 年 3 月 22 日 2013 年 4 月 11 日 模具分模以及模具結(jié)構(gòu)設(shè)計(jì) 2013 年 4 月 12 日 2013 年 4 月 25 日 模具相關(guān) 2D 圖面繪制 2013 年 4 月 26 日 2013 年 5 月 21 日 畢業(yè)論文撰寫和修改工作 預(yù)期成果 利用設(shè)計(jì)出來的模具將產(chǎn)品生產(chǎn)出來 并達(dá)到預(yù)期效果 特色或創(chuàng)新之處 可以代替機(jī)床將產(chǎn)品生產(chǎn)出來 并實(shí)現(xiàn)自動(dòng)化 實(shí)現(xiàn)了對(duì)產(chǎn)品的大批量復(fù)制性生產(chǎn) 已具備的條件和尚需解決的問題 提高了生產(chǎn)效率 該模具結(jié)構(gòu)還需要改善 精度還有待提高 指導(dǎo)教師意見 指導(dǎo)教師簽名 年 月 日 教研室 學(xué)科組 研究所 意見 教研室主任簽名 年 月 日 系意見 主管領(lǐng)導(dǎo)簽名 年 月 日 英文原文 Automated surface finishing of plastic injection mold steel with spherical grinding and ball burnishing processes Abstract This study investigates the possibilities of automated spherical grinding and ball burnishing surface finishing processes in a freeform surface plastic injection mold steel PDS5 on a CNC machining center The design and manufacture of a grinding tool holder has been accomplished in this study The optimal surface grinding parameters were determined using Taguchi s orthogonal array method for plastic injection molding steel PDS5 on a machining center The optimal surface grinding parameters for the plastic injection mold steel PDS5 were the combination of an abrasive material of PA Al2O3 a grinding speed of 18 000 rpm a grinding depth of 20 m and a feed of 50 mm min The surface roughness Ra of the specimen can be improved from about 1 60 m to 0 35 m by using the optimal parameters for surface grinding Surface roughness Ra can be further improved from about 0 343 m to 0 06 m by using the ball burnishing process with the optimal burnishing parameters Applying the optimal surface grinding and burnishing parameters sequentially to a fine milled freeform surface mold insert the surface roughness Ra of freeform surface region on the tested part can be improved from about 2 15 m to 0 07 m Keywords Automated surface finishing Ball burnishing process Grinding process Surface roughness Taguchi s method 1 Introduction Plastics are important engineering materials due to their specific characteristics such as corrosion resistance resistance to chemicals low density and ease of manufacture and have increasingly replaced metallic components in industrial applications Injection molding is one of the important forming processes for plastic products The surface finish quality of the plastic injection mold is an essential requirement due to its direct effects on the appearance of the plastic product Finishing processes such as grinding polishing and lapping are commonly used to improve the surface finish The mounted grinding tools wheels have been widely used in conventional mold and die finishing industries The geometric model of mounted grinding tools for automated surface finishing processes was introduced in A finishing process mode of spherical grinding tools for automated surface finishing systems was developed in Grinding speed depth of cut feed rate and wheel properties such as abrasive material and abrasive grain size are the dominant parameters for the spherical grinding process as shown in Fig 1 The optimal spherical grinding parameters for the injection mold steel have not yet been investigated based in the literature Fig 1 Schematic diagram of the spherical grinding process In recent years some research has been carried out in determining the optimal parameters of the ball burnishing process Fig 2 For instance it has been found that plastic deformation on the workpiece surface can be reduced by using a tungsten carbide ball or a roller thus improving the surface roughness surface hardness and fatigue resistance The burnishing process is accomplished by machining centers and lathes The main burnishing parameters having significant effects on the surface roughness are ball or roller material burnishing force feed rate burnishing speed lubrication and number of burnishing passes among others The optimal surface burnishing parameters for the plastic injection mold steel PDS5 were a combination of grease lubricant the tungsten carbide ball a burnishing speed of 200 mm min a burnishing force of 300 N and a feed of 40 m The depth of penetration of the burnished surface using the optimal ball burnishing parameters was about 2 5 microns The improvement of the surface roughness through burnishing process generally ranged between 40 and 90 Fig 2 Schematic diagram of the ball burnishing process The aim of this study was to develop spherical grinding and ball burnishing surface finish processes of a freeform surface plastic injection mold on a machining center The flowchart of automated surface finish using spherical grinding and ball burnishing processes is shown in Fig 3 We began by designing and manufacturing the spherical grinding tool and its alignment device for use on a machining center The optimal surface spherical grinding parameters were determined by utilizing a Taguchi s orthogonal array method Four factors and three corresponding levels were then chosen for the Taguchi s L18 matrix experiment The optimal mounted spherical grinding parameters for surface grinding were then applied to the surface finish of a freeform surface carrier To improve the surface roughness the ground surface was further burnished using the optimal ball burnishing parameters Fig 3 Flow chart of automated surface finish using spherical grinding and ball burnishing processes 2 Design of the spherical grinding tool and its alignment device To carry out the possible spherical grinding process of a freeform surface the center of the ball grinder should coincide with the z axis of the machining center The mounted spherical grinding tool and its adjustment device was designed as shown in Fig 4 The electric grinder was mounted in a tool holder with two adjustable pivot screws The center of the grinder ball was well aligned with the help of the conic groove of the alignment components Having aligned the grinder ball two adjustable pivot screws were tightened after which the alignment components could be removed The deviation between the center coordinates of the ball grinder and that of the shank was about 5 m which was measured by a CNC coordinate measuring machine The force induced by the vibration of the machine bed is absorbed by a helical spring The manufactured spherical grinding tool and ball burnishing tool were mounted as shown in Fig 5 The spindle was locked for both the spherical grinding process and the ball burnishing process by a spindle locking mechanism Fig 4 Schematic illustration of the spherical grinding tool and its adjustment device Fig 5 a Photo of the spherical grinding tool b Photo of the ball burnishing tool 3 Planning of the matrix experiment 3 1 Configuration of Taguchi s orthogonal array The effects of several parameters can be determined efficiently by conducting matrix experiments using Taguchi s orthogonal array To match the aforementioned spherical grinding parameters the abrasive material of the grinder ball with the diameter of 10 mm the feed rate the depth of grinding and the revolution of the electric grinder were selected as the four experimental factors parameters and designated as factor A to D see Table 1 in this research Three levels settings for each factor were configured to cover the range of interest and were identified by the digits 1 2 and 3 Three types of abrasive materials namely silicon carbide SiC white aluminum oxide Al2O3 WA and pink aluminum oxide Al2O3 PA were selected and studied Three numerical values of each factor were determined based on the pre study results The L18 orthogonal array was selected to conduct the matrix experiment for four 3 level factors of the spherical grinding process Table1 The experimental factors and their levels 3 2 Definition of the data analysis Engineering design problems can be divided into smaller the better types nominal the best types larger the better types signed target types among others 8 The signal to noise S N ratio is used as the objective function for optimizing a product or process design The surface roughness value of the ground surface via an adequate combination of grinding parameters should be smaller than that of the original surface Consequently the spherical grinding process is an example of a smaller the better type problem The S N ratio is defined by the following equation 10 log10 mean square quality characteristic 10 log10 niy12 where yi observations of the quality characteristic under different noise conditions n number of experiment After the S N ratio from the experimental data of each L18 orthogonal array is calculated the main effect of each factor was determined by using an analysis of variance ANOVA technique and an F ratio test The optimization strategy of the smaller the better problem is to maximize as defined by Eq 1 Levels that maximize will be selected for the factors that have a significant effect on The optimal conditions for spherical grinding can then be determined 4 Experimental work and results The material used in this study was PDS5 tool steel equivalent to AISI P20 which is commonly used for the molds of large plastic injection products in the field of automobile components and domestic appliances The hardness of this material is about HRC33 HS46 One specific advantage of this material is that after machining the mold can be directly used for further finishing processes without heat treatment due to its special pre treatment The specimens were designed and manufactured so that they could be mounted on a dynamometer to measure the reaction force The PDS5 specimen was roughly machined and then mounted on the dynamometer to carry out the fine milling on a three axis machining center made by Yang Iron Company type MV 3A equipped with a FUNUC Company NC controller type 0M The pre machined surface roughness was measured using Hommelwerke T4000 equipment to be about 1 6 m Figure 6 shows the experimental set up of the spherical grinding process A MP10 touch trigger probe made by the Renishaw Company was also integrated with the machining center tool magazine to measure and determine the coordinated origin of the specimen to be ground The NC codes needed for the ball burnishing path were generated by PowerMILL CAM software These codes can be transmitted to the CNC controller of the machining center via RS232 serial interface Fig 6 Experimental set up to determine the optimal spherical grinding parameters Table 2 summarizes the measured ground surface roughness alue Ra and the calculated S N ratio of each L18 orthogonal array sing Eq 1 after having executed the 18 matrix experiments The average S N ratio for each level of the four actors is shown graphically in Fig 7 Table2 Ground surface roughness of PDS5 specimen Exp Inner array control factors Measured surface roughness value Ra Response no A B C D my 12 3S N dB Mean my 1 1 1 1 1 0 35 0 35 0 35 9 119 0 350 2 1 2 2 2 0 37 0 36 0 38 8 634 0 370 3 1 3 3 3 0 41 0 44 0 40 7 597 0 417 4 2 1 2 3 0 63 0 65 0 64 3 876 0 640 5 2 2 3 1 0 73 0 77 0 78 2 380 0 760 6 2 3 1 2 0 45 0 42 0 39 7 530 0 420 7 3 1 3 2 0 34 0 31 0 32 9 801 0 323 8 3 2 1 3 0 27 0 25 0 28 11 471 0 267 9 3 3 2 1 0 32 0 32 0 32 9 897 0 320 10 1 1 2 2 0 35 0 39 0 40 8 390 0 380 11 1 2 3 3 0 41 0 50 0 43 6 968 0 447 12 1 3 1 1 0 40 0 39 0 42 7 883 0 403 13 2 1 1 3 0 33 0 34 0 31 9 712 0 327 14 2 2 2 1 0 48 0 50 0 47 6 312 0 483 15 2 3 3 2 0 57 0 61 0 53 4 868 0 570 16 3 1 3 1 0 59 0 55 0 54 5 030 0 560 17 3 2 1 2 0 36 0 36 0 35 8 954 0 357 18 3 3 2 3 0 57 0 53 0 53 5 293 0 543 Fig 7 Plots of control factor effects The goal in the spherical grinding process is to minimize the surface roughness value of the ground specimen by determining the optimal level of each factor Since log is a monotone decreasing function we should maximize the S N ratio Consequently we can determine the optimal level for each factor as being the level that has the highest value of Therefore based on the matrix experiment the optimal abrasive material was pink aluminum oxide the optimal feed was 50 mm min the optimal depth of grinding was 20 m and the optimal revolution was 18 000 rpm as shown in Table 3 The optimal parameters for surface spherical grinding obtained from the Taguchi s matrix experiments were applied to the surface finish of the freeform surface mold insert to evaluate the surface roughness improvement A perfume bottle was selected as the tested carrier The CNC machining of the mold insert for the tested object was simulated with Power MILL CAM software After fine milling the mold insert was further ground with the optimal spherical grinding parameters obtained from the Taguchi s matrix experiment Shortly afterwards the ground surface was burnished with the optimal ball burnishing parameters to further improve the surface roughness of the tested object see Fig 8 The surface roughness of the mold insert was measured with Hommelwerke T4000 equipment The average surface roughness value Ra on a fine milled surface of the mold insert was 2 15 m on average that on the ground surface was 0 45 m on average and that on burnished surface was 0 07 m on average The surface roughness improvement of the tested object on ground surface was about 2 15 0 45 2 15 79 1 and that on the burnished surface was about 2 15 0 07 2 15 96 7 Fig 8 Fine milled ground and burnished mold insert of a perfume bottle 5 Conclusion In this work the optimal parameters of automated spherical grinding and ball burnishing surface finishing processes in a freeform surface plastic injection mold were developed successfully on a machining center The mounted spherical grinding tool and its alignment components was designed and manufactured The optimal spherical grinding parameters for surface grinding were determined by conducting a Taguchi L18 matrix experiments The optimal spherical grinding parameters for the plastic injection mold steel PDS5 were the combination of the abrasive material of pink aluminum oxide Al2O3 PA a feed of 50 mm min a depth of grinding 20 m and a revolution of 18 000 rpm The surface roughness Ra of the specimen can be improved from about 1 6 m to 0 35 m by using the optimal spherical grinding conditions for surface grinding By applying the optimal surface grinding and burnishing parameters to the surface finish of the freeform surface mold insert the surface roughness improvements were measured to be ground surface was about 79 1 in terms of ground surfaces and about 96 7 in terms of burnished surfaces 中文譯文 基于注塑模具鋼研磨和拋光工序的自動(dòng)化表面處理 摘要 這篇文章研究了注塑模具鋼自動(dòng)研磨與球面拋光加工工序的可能性 它可以在數(shù)控加 工中心完成注塑模具鋼 PDS5 的塑性曲面 這項(xiàng)研究已經(jīng)完成了磨削刀架的設(shè)計(jì)與制造 最佳表面研磨參數(shù)是在鋼鐵 PDS5 的加工中心測(cè)定的 對(duì)于 PDS5 注塑模具鋼的最佳球面 研磨參數(shù)是以下一系列的組合 研磨材料的磨料為粉紅氧化鋁 進(jìn)給量 50 毫米 分鐘 磨 削深度 20 微米 磨削轉(zhuǎn)速為 18000RPM 表面粗糙度 Ra 值可由大約 1 60 微米改善至 0 35 微米 通過用優(yōu)化的參數(shù)進(jìn)行表面研磨 如果用球拋光工藝和參數(shù)優(yōu)化拋光 還可以進(jìn)一 步改善表面粗糙度 Ra 值 一般從 0 343 微米至 0 06 微米左右 而在模具內(nèi)部曲面的測(cè)試 部分 用最佳參數(shù)的表面研磨 拋光 曲面表面粗糙度就可以提高約 2 15 微米至 0 07 微米 關(guān)鍵詞 自動(dòng)化表面處理 拋光 磨削過程 表面粗糙度 田口方法 一 引言 由于塑膠工程材料的重要特點(diǎn) 比如耐化學(xué)腐蝕性 低密度 易于制造 并且已經(jīng)日漸取 代了金屬部件在工業(yè)中廣泛應(yīng)用 在注塑成型領(lǐng)域 其對(duì)于塑料制品是一個(gè)重要工藝 設(shè) 計(jì)的本質(zhì)要求是注塑模具的表面質(zhì)量 因?yàn)樗苯佑绊懥怂苣z產(chǎn)品的外觀和性能 加工工 藝如球面研磨 拋光常用于改善表面光潔度 圖 1 球面研磨過程示意圖 研磨工具 輪子 的安裝的磨削工具 車輪 已被廣泛地用在常規(guī)的模具和模具精加工 產(chǎn)業(yè) 安裝的幾何模型的整理工序引入英寸甲球面磨削工具自動(dòng)化表面精加工處理模式的 狀態(tài)下 完成系統(tǒng)開發(fā)英寸磨削速度 切削深度 進(jìn)給速率 如研磨材料和車輪屬性自動(dòng) 化表面的磨削工具 和磨料顆粒的大小 是用于球形研磨過程的主要參數(shù) 如在圖所示 1 的最佳的球形研磨參數(shù)用于注射模具鋼中尚未調(diào)查是根據(jù)在文獻(xiàn)中 步距 研磨高度球磨研磨 進(jìn)給速度 工作臺(tái) 在最近幾年中 已經(jīng)進(jìn)行了一些研究 在確定球拋光過程 圖 2 的最優(yōu)參數(shù) 比如 已發(fā)現(xiàn) 可以減少使用的鎢硬質(zhì)合金球或輥在工件表面上的塑性變形 從而改善表面粗糙 度 表面硬度和耐疲勞性 拋光過程是通過加工中心和車床 主要的拋光參數(shù) 具有顯著 的表面粗糙度的影響的滾珠或滾子材料 拋光力 進(jìn)給速率 拋光速度快 潤(rùn)滑和拋光通 行證的數(shù)量 等等 最佳的表面的塑料注射模具鋼 PDS5 擠光參數(shù)的組合的潤(rùn)滑脂 碳化 鎢球的拋光速度為 200 毫米 分鐘 拋光力 300 N 和一個(gè)飼料為 40 m 使用的最佳球拋 光參數(shù)的磨光表面的滲透深度為約 2 5 微米 通過拋光過程中的改進(jìn)的表面粗糙度一般介 于 40 和 90 之間 圖 2 球面拋光過程概略圖 本文研究的目的是開發(fā)球面磨削球拋光表面處理工藝的自由曲面 塑料注塑模具加工 中心 自動(dòng)化表面精加工的流程圖中 使用球面磨削和球拋光過程示于圖 3 中 我們開始 設(shè)計(jì)和制造的球面磨削加工中心上使用的工具 其定位裝置 最佳的表面球面磨削參數(shù)進(jìn) 行了測(cè)定 利用田口正交陣列的方法 四個(gè)因素 三個(gè)相應(yīng)的級(jí)別 然后選擇為田口 L18 矩陣實(shí)驗(yàn) 的最佳安裝球面磨削參數(shù) 然后將其應(yīng)用于自由曲面載體的表面光潔度的表面 研磨 為了改善表面粗糙度 地面進(jìn)一步打磨 使用的最佳球擠光參數(shù) PDS 試樣的設(shè)計(jì)與制造 選擇最佳矩陣實(shí)驗(yàn)因子 確定最佳參數(shù) 實(shí)施實(shí)驗(yàn) 分析并確定最佳因子 進(jìn)行表面拋光 應(yīng)用最佳參數(shù)加工曲面 測(cè)量試樣的表面粗糙度 球研磨和拋光裝置的設(shè)計(jì)與制造 圖 3 自動(dòng)球面研磨與拋光工序的流程圖 二 球研磨的設(shè)計(jì)和對(duì)準(zhǔn)裝置 要進(jìn)行可能的球形研磨過程中的自由曲面 球研磨機(jī)的中心應(yīng)與 z 軸的加工中心重合 的安裝的球形研磨工具和其調(diào)整裝置的設(shè)計(jì) 如在圖所示 4 電動(dòng)研磨機(jī)中 安裝在工具 保持架有兩個(gè)可調(diào)的樞軸螺釘 以及研磨機(jī)球的中心對(duì)準(zhǔn)的圓錐槽的取向組分的幫助 對(duì) 準(zhǔn)的粉碎機(jī)球 兩個(gè)可調(diào)節(jié)的支點(diǎn)螺絲擰緊后 對(duì)齊組件可以被刪除 中心之間的偏差的 坐標(biāo)球研磨機(jī)的柄部的時(shí)間是約 5 微米 這是由一個(gè)數(shù)控三坐標(biāo)測(cè)量機(jī)測(cè)量 由振動(dòng)引起 的力的機(jī)床吸收由一個(gè)螺旋彈簧 所制造的球形研磨工具和球磨光工具被安裝 如圖所示 5 主軸被鎖定的球面研磨過程和球拋光由主軸鎖定機(jī)構(gòu)的方法 圖 4 球面研磨工具及其調(diào)整裝置 圖 5 a 球面研磨工具的圖片 b 球拋光工具的圖片 三 矩陣實(shí)驗(yàn)的規(guī)劃 3 1 田口正交表 幾個(gè)參數(shù)的影響 可以有效地進(jìn)行矩陣實(shí)驗(yàn)田口直交 要與上述球形研磨參數(shù)相匹配 研磨機(jī)的球 直徑為 10 毫米 進(jìn)給速度 磨削深度 和革命的電動(dòng)研磨機(jī)的研磨材料被 選定為四個(gè)實(shí)驗(yàn)因素 參數(shù) 并指定為因子 A 到 D 見表 1 在本研究中 每個(gè)因子的三 個(gè)層次 設(shè)置 被配置為覆蓋感興趣的范圍內(nèi) 并確定了數(shù)字 1 2 和 3 三種類型的研 磨材料 即 白色氧化鋁 Al2O3 WA 碳化硅 SiC 和粉紅色的氧化鋁 Al2O3 賓 夕法尼亞州 選擇和研究 每個(gè)因子的三個(gè)數(shù)值的預(yù)研究結(jié)果的基礎(chǔ)上確定的 L18 直 模柄 彈簧 工具可調(diào)支撐 緊固螺釘 磨球 自動(dòng)研磨 磨球組件 交被選中的 4 個(gè) 3 級(jí)因素的球面磨削過程中進(jìn)行矩陣實(shí)驗(yàn) 表 1 實(shí)驗(yàn)因素和水平 水平 因素 1 2 3 A 碳化硅 白色氧化鋁 粉紅氧化鋁 B 50 100 200 C 研磨深度 m 20 50 80 D 12000 18000 24000 3 2 數(shù)據(jù)分析的界定 工程設(shè)計(jì)問題 可以分為較小而好的類型 象征性最好類型 大而好類型 目標(biāo)取向類型 等 信噪比 S N 的比值 常作為目標(biāo)函數(shù)來優(yōu)化產(chǎn)品或者工藝設(shè)計(jì) 被加工面的表面粗 糙度值經(jīng)過適當(dāng)?shù)亟M合磨削參數(shù) 應(yīng)小于原來的未加工表面 因此 球面研磨過程屬于工 程問題中的小而好類型 這里的信噪比 S N 按下列公式定義 10 log 平方等于質(zhì)量特性10 10 log 1 10 niy2 這里 y 不同噪聲條件下所觀察的質(zhì)量特性i n 實(shí)驗(yàn)次數(shù) 從每個(gè) L18 型正交實(shí)驗(yàn)得到的信噪比 S N 數(shù)據(jù) 經(jīng)計(jì)算后 運(yùn)用差異分析技術(shù) 變 異 和殲比檢驗(yàn)來測(cè)定每一個(gè)主要的因素 優(yōu)化小而好類型的工程問題問題更是盡量使 最大而定 各級(jí) 選擇的最大化將對(duì)最終的 因素有重大影響 最優(yōu)條件可視研磨球而待 定 四 實(shí)驗(yàn)工作和結(jié)果 本研究中所使用的材料是 PDS5 工具鋼 相當(dāng)于 AISI P20 這種材料通常用于大型塑 料注塑產(chǎn)品 汽車部件和國內(nèi)家電領(lǐng)域中的模具 這種材料的硬度是 HRC33 HS46 這 種材料的一個(gè)具體的優(yōu)點(diǎn)是 加工后 模具可直接用于進(jìn)一步的精加工過程中未經(jīng)加熱處 理的 由于其特殊的前處理 試樣被設(shè)計(jì)和制造 使他們能夠被安裝在測(cè)力計(jì)來測(cè)量的反 作用力 PDS5 標(biāo)本粗略加工 然后安裝在底盤測(cè)功機(jī)上進(jìn)行精銑陽鋼鐵公司 MV 3A 型 配備一個(gè) FUNUC 公司的 NC 控制器 0M 類型由一個(gè)三軸加工中心 預(yù)加工的表面 粗糙度進(jìn)行測(cè)定 使用 HOMMELWERKE T4000 設(shè)備 是約 1 6 微米 圖 6 示出了實(shí)驗(yàn)設(shè) 置的球狀的研磨過程 加工中心刀庫的協(xié)調(diào)原產(chǎn)地測(cè)量和確定的標(biāo)本是地面還集成了一個(gè) MP10 觸發(fā)式探針由雷尼紹公司 PowerMILL 的 CAM 軟件生成的 NC 代碼所需要的球擠 光加工路徑的 這些代碼可以被發(fā)送到通過 RS232 串行接口的加工中心的 CNC 控制器 圖 6 當(dāng)完成了 L18 型矩陣實(shí)驗(yàn)后 表 2 PDS5 試樣光滑表層的粗糙度 總結(jié)了光滑表面 的粗糙度 RA 值 計(jì)算了每一個(gè) L18 型矩陣實(shí)驗(yàn)的信噪比 S N 從而用于方程 1 通 過表 2 提供的各個(gè)數(shù)值 可以得到四種不同程度因素的平均信噪比 S N 在圖 7 中已用 圖表顯示 表 2 PDS5 試樣光滑表層的粗糙度 實(shí)驗(yàn) 內(nèi)部排列 控制因素 測(cè)量表面粗糙度值 RA 反應(yīng)結(jié)果 序號(hào) A B C D my 12 3S N dB Mean my 1 1 1 1 1 0 35 0 35 0 35 9 119 0 350 2 1 2 2 2 0 37 0 36 0 38 8 634 0 370 3 1 3 3 3 0 41 0 44 0 40 7 597 0 417 4 2 1 2 3 0 63 0 65 0 64 3 876 0 640 5 2 2 3 1 0 73 0 77 0 78 2 380 0 760 6 2 3 1 2 0 45 0 42 0 39 7 530 0 420 7 3 1 3 2 0 34 0 31 0 32 9 801 0 323 8 3 2 1 3 0 27 0 25 0 28 11 471 0 267 9 3 3 2 1 0 32 0 32 0 32 9 897 0 320 10 1 1 2 2 0 35 0 39 0 40 8 390 0 380 11 1 2 3 3 0 41 0 50 0 43 6 968 0 447 12 1 3 1 1 0 40 0 39 0 42 7 883 0 403 13 2 1 1 3 0 33 0 34 0 31 9 712 0 327 14 2 2 2 1 0 48 0 50 0 47 6 312 0 483 15 2 3 3 2 0 57 0 61 0 53 4 868 0 570 16 3 1 3 1 0 59 0 55 0 54 5 030 0 560 17 3 2 1 2 0 36 0 36 0 35 8 954 0 357 18 3 3 2 3 0 57 0 53 0 53 5 293 0 543 加工中心 數(shù)控機(jī)床 電腦 圖 7 控制影響因素 球面研磨工藝的目標(biāo) 就是通過確定每一種因子的最佳優(yōu)化程度值 來使試樣光滑表 層的表面粗糙度值達(dá)到最小 因?yàn)?log 是一個(gè)減函數(shù) 我們應(yīng)當(dāng)使信噪比 S N 達(dá)到最 大 因此 我們能夠確定每一種因子的最優(yōu)程度使得 的值達(dá)到最大 因此基于這個(gè)點(diǎn)陣 式實(shí)驗(yàn)的最優(yōu)轉(zhuǎn)速應(yīng)該是 18000RPM 用于表面的最優(yōu)參