پديد آورندگان :
ﻣﯿﮑﺎﺋﯿﻞ، رﺿﺎ داﻧﺸﮕﺎه ﺻﻨﻌﺘﯽ اروﻣﯿﻪ - داﻧﺸﮑﺪه ﻣﺤﯿﻂ زﯾﺴﺖ - ﮔﺮوه ﻣﻬﻨﺪﺳﯽ ﻣﻌﺪن، اروﻣﯿﻪ , اﺳﻤﻌﯿﻞ زاده، اﮐﺒﺮ داﻧﺸﮕﺎه ﺻﻨﻌﺘﯽ اروﻣﯿﻪ - داﻧﺸﮑﺪه ﻣﺤﯿﻂ زﯾﺴﺖ - ﮔﺮوه ﻣﻬﻨﺪﺳﯽ ﻣﻌﺪن، اروﻣﯿﻪ , ﻋﻄﺎﯾﯽ، ﻣﺤﻤﺪ داﻧﺸﮕﺎه ﺻﻨﻌﺘﯽ ﺷﺎﻫﺮود - داﻧﺸﮑﺪه ﻣﻬﻨﺪﺳﯽ ﻣﻌﺪن، ﻧﻔﺖ و ژﺋﻮﻓﯿﺰﯾﮏ - ﮔﺮوه ﻣﻬﻨﺪﺳﯽ ﻣﻌﺪن، ايران
كليدواژه :
ﺑﺮش ﺳﻨﮓ , ﺳﯿﮕﻨﺎلﻫﺎي ارﺗﻌﺎﺷﯽ , ﭘﺎراﻣﺘﺮﻫﺎي ﻋﻤﻠﯿﺎﺗﯽ , ﻣﺪل آﻣﺎري
چكيده فارسي :
اﻓﺰاﯾﺶ ﺑﯿﺶ از ﺣﺪ ﻣﺠﺎز ارﺗﻌﺎش در ﻓﺮآﯾﻨﺪ ﺑﺮش ﺳﻨﮓ، ﻋﻼوه ﺑﺮ اﻓﺰاﯾﺶ ﭘﺮت ﺳﻨﮓ، ﺑﺎﻋﺚ اﯾﺠﺎد ﮐﻤﺎﻧﺶ، اﻧﺤﺮاف و در ﻧﻬﺎﯾﺖ ﺷﮑﺴﺖ اﺑﺰار ﻣﯽﺷﻮد. ﺑﻨﺎﺑﺮاﯾﻦ ﺑﺮرﺳﯽ و ﭘﯿﺶﺑﯿﻨﯽ ﻣﯿﺰان ارﺗﻌﺎش ﻃﯽ ﻓﺮاﯾﻨﺪ ﺑﺮش، اﻣﺮي ﻻزم و ﺿﺮوري ﻣﯽﺑﺎﺷﺪ. در اﯾﻦ ﺗﺤﻘﯿﻖ ﺳﻌﯽ ﺷﺪ ﺑﺎ اﻧﺠﺎم ﻣﻄﺎﻟﻌﺎت آزﻣﺎﯾﺸﮕﺎﻫﯽ و آﻣﺎري، ﺑﻪ ﺑﺮرﺳﯽ و ﭘﯿﺶﺑﯿﻨﯽ ارﺗﻌﺎش ﻃﯽ ﻓﺮاﯾﻨﺪ ﺑﺮش ﭘﺮداﺧﺘﻪ ﺷﻮد. ﺑﺪﯾﻦ ﻣﻨﻈﻮر ﯾﮏ دﺳﺘﮕﺎه ﺑﺮش در ﻣﻘﯿﺎس آزﻣﺎﯾﺸﮕﺎﻫﯽ ﺑﻪ ﻫﻤﺮاه ﺗﺠﻬﯿﺰات اﻧﺪازهﮔﯿﺮي ارﺗﻌﺎش ﺗﻬﯿﻪ ﮔﺮدﯾﺪ. ﻣﻄﺎﻟﻌﺎت ﺗﺤﺖ ﺷﺮاﯾﻂ ﻣﺨﺘﻠﻒ ﻋﻤﻠﯿﺎﺗﯽ در ﻋﻤﻖﻫﺎي ﻣﺨﺘﻠﻒ ﺑﺮش )15، 22، 30 و 35 ﻣﯿﻠﯽﻣﺘﺮ(، ﻧﺮخﻫﺎي ﻣﺨﺘﻠﻒ ﭘﯿﺸﺮوي )100، 200، 300، 350 و 400 ﺳﺎﻧﺘﯽﻣﺘﺮ در دﻗﯿﻘﻪ( و ﺳﺮﻋﺖ-ﻫﺎي ﻣﺨﺘﻠﻒ ﭼﺮﺧﺶ دﯾﺴﮏ )2550، 1770 و 1540 دور در دﻗﯿﻘﻪ( ﺑﺮ روي ﯾﮏ ﻧﻤﻮﻧﻪ ﺳﻨﮓ ﮐﺮﺑﻨﺎﺗﻪ اﻧﺠﺎم ﺷﺪ. ﻧﺘﺎﯾﺞ ﻧﺸﺎن داد ﮐﻪ ﺑﺎ اﻓﺰاﯾﺶ ﻣﻘﺪار ﻋﻤﻖ ﺑﺮش و ﻧﺮخ ﭘﯿﺸﺮوي، ﻣﯿﺰان ﺷﺪت ارﺗﻌﺎﺷﺎت اﻓﺰاﯾﺶ ﻣﯽﯾﺎﺑﺪ. ﺑﻪ ﻃﻮريﮐﻪ ﻧﺴﺒﺖ اﯾﻦ ﺗﻐﯿﯿﺮات در ﻧﺮخﻫﺎي ﭘﯿﺸﺮوي 400 ﺑﻪ 100، ﺑﯿﺶ از 6 ﺑﺮاﺑﺮ ﺑﻮد. ﭘﺲ از ﺑﺮرﺳﯽ ﻧﺘﺎﯾﺞ آزﻣﺎﯾﺸﺎت و اﻧﺠﺎم ﻣﻄﺎﻟﻌﺎت آﻣﺎري، ﻣﺪلﻫﺎي آﻣﺎري ﺑﺮاي ﭘﯿﺶﺑﯿﻨﯽ ﺳﯿﮕﻨﺎلﻫﺎي ارﺗﻌﺎﺷﯽ ﺑﺎ ﮐﻤﮏ ﻧﺮم اﻓﺰار SPSS اراﺋﻪ ﺷﺪﻧﺪ. ﻧﺘﺎﯾﺞ ﺣﺎﺻﻞ از آزﻣﻮنﻫﺎي آﻣﺎري ﻧﺸﺎن داد ﮐﻪ ﺑﻬﺘﺮﯾﻦ ﻣﺪلﻫﺎي ﺑﺮازﺷﯽ ﻗﺎدر ﺑﻪ ﭘﯿﺶﺑﯿﻨﯽ ﻣﯿﺰان ارﺗﻌﺎﺷﺎت ﻃﯽ ﻓﺮاﯾﻨﺪ ﺑﺮش ﺑﺎ ﺿﺮﯾﺐ ﺗﺒﯿﯿﻦ 0/92 و 87/ ﺑﺎ ﺳﻄﺢ ﻣﻌﻨﯽ داري ﺑﺎﻻي 90 درﺻﺪ و ﺧﻄﺎي ﮐﻤﺘﺮ از 10 درﺻﺪ ﻣﯽﺑﺎﺷﻨﺪ.
چكيده لاتين :
Besides stone perishing, generated vibrations during stone cutting process can lead to bending, deflection and finally breakage of cutter disks. Therefore, study and predicting vibrations, is unavoidable in stone cutting process. In this research, by means of laboratory and statistically analysis, a study is carried out to predicting vibration of stone cutting process. For this purpose, a stone cutting machine in laboratory scale which equipped with vibration measurement tools, was provided. On a carbonate rock specimen, the study is carried out under different circumstance such as different practical cut depth (15, 22, 30, 35 mm), different cut advance rate (100, 200, 300, 350, 400 cm/min), different cutter disk rotation speed (1540, 1770, 2550 rpm). Results indicate that increasing in cut depth and cut advance rate, lead to increase in vibration intensity. Vibration intensity quantity even increased 6 times, when cut advance rate varies from 100 to 400 cm/min. Using SPSS software, after laboratory result investigation and statistically data analysis, vibration signal predicting statistical models are presented. Results of statistical tests indicates that the best fitting models enable predicting vibration quantity accurately and precisely with correlation coefficient range of 0.92 - 0.87, confidence level of 90% and error less than 10%.
