Determining the Influence of Granule Size on Simulation Parameters and Residual Shear Stress Distribution in Tablets by Combining the Finite Element Method into the Design of Experiments
The influence of granule size on simulation parameters and residual shear stress in tablets was determined by combining the finite element method (FEM) into the design of experiments (DoE). Lactose granules were prepared using a wet granulation method with a high-shear mixer and sorted into small an...
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Veröffentlicht in: | Chemical & pharmaceutical bulletin 2018/05/01, Vol.66(5), pp.541-547 |
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description | The influence of granule size on simulation parameters and residual shear stress in tablets was determined by combining the finite element method (FEM) into the design of experiments (DoE). Lactose granules were prepared using a wet granulation method with a high-shear mixer and sorted into small and large granules using sieves. To simulate the tableting process using the FEM, parameters simulating each granule were optimized using a DoE and a response surface method (RSM). The compaction behavior of each granule simulated by FEM was in reasonable agreement with the experimental findings. Higher coefficients of friction between powder and die/punch (μ) and lower by internal friction angle (αy) were generated in the case of small granules, respectively. RSM revealed that die wall force was affected by αy. On the other hand, the pressure transmissibility rate of punches value was affected not only by the αy value, but also by μ. The FEM revealed that the residual shear stress was greater for small granules than for large granules. These results suggest that the inner structure of a tablet comprising small granules was less homogeneous than that comprising large granules. To evaluate the contribution of the simulation parameters to residual stress, these parameters were assigned to the fractional factorial design and an ANOVA was applied. The result indicated that μ was the critical factor influencing residual shear stress. This study demonstrates the importance of combining simulation and statistical analysis to gain a deeper understanding of the tableting process. |
doi_str_mv | 10.1248/cpb.c17-00955 |
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Lactose granules were prepared using a wet granulation method with a high-shear mixer and sorted into small and large granules using sieves. To simulate the tableting process using the FEM, parameters simulating each granule were optimized using a DoE and a response surface method (RSM). The compaction behavior of each granule simulated by FEM was in reasonable agreement with the experimental findings. Higher coefficients of friction between powder and die/punch (μ) and lower by internal friction angle (αy) were generated in the case of small granules, respectively. RSM revealed that die wall force was affected by αy. On the other hand, the pressure transmissibility rate of punches value was affected not only by the αy value, but also by μ. The FEM revealed that the residual shear stress was greater for small granules than for large granules. These results suggest that the inner structure of a tablet comprising small granules was less homogeneous than that comprising large granules. To evaluate the contribution of the simulation parameters to residual stress, these parameters were assigned to the fractional factorial design and an ANOVA was applied. The result indicated that μ was the critical factor influencing residual shear stress. This study demonstrates the importance of combining simulation and statistical analysis to gain a deeper understanding of the tableting process.</description><identifier>ISSN: 0009-2363</identifier><identifier>EISSN: 1347-5223</identifier><identifier>DOI: 10.1248/cpb.c17-00955</identifier><identifier>PMID: 29710049</identifier><language>eng</language><publisher>Japan: The Pharmaceutical Society of Japan</publisher><subject>Coefficient of friction ; Computer simulation ; Design ; Design of experiments ; Finite element analysis ; Finite element method ; Fractional factorial design ; Friction ; Granular materials ; Granulation ; Internal friction ; Lactose ; Mathematical analysis ; particle size ; Powder ; Process parameters ; Punches ; Residual stress ; residual stress distribution ; Response surface methodology ; Shear stress ; Sieves ; Simulation ; Statistical analysis ; Stress analysis ; Stress concentration ; Stress distribution ; tablet ; Tablets ; Variance analysis</subject><ispartof>Chemical and Pharmaceutical Bulletin, 2018/05/01, Vol.66(5), pp.541-547</ispartof><rights>2018 The Pharmaceutical Society of Japan</rights><rights>Copyright Japan Science and Technology Agency 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c442t-db219438fc8cdb22852bf5276ecd243569323479360c24fc59cd13f128e799cb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,1877,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29710049$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hayashi, Yoshihiro</creatorcontrib><creatorcontrib>Kosugi, Atsushi</creatorcontrib><creatorcontrib>Miura, Takahiro</creatorcontrib><creatorcontrib>Takayama, Kozo</creatorcontrib><creatorcontrib>Onuki, Yoshinori</creatorcontrib><title>Determining the Influence of Granule Size on Simulation Parameters and Residual Shear Stress Distribution in Tablets by Combining the Finite Element Method into the Design of Experiments</title><title>Chemical & pharmaceutical bulletin</title><addtitle>Chem. Pharm. Bull.</addtitle><description>The influence of granule size on simulation parameters and residual shear stress in tablets was determined by combining the finite element method (FEM) into the design of experiments (DoE). Lactose granules were prepared using a wet granulation method with a high-shear mixer and sorted into small and large granules using sieves. To simulate the tableting process using the FEM, parameters simulating each granule were optimized using a DoE and a response surface method (RSM). The compaction behavior of each granule simulated by FEM was in reasonable agreement with the experimental findings. Higher coefficients of friction between powder and die/punch (μ) and lower by internal friction angle (αy) were generated in the case of small granules, respectively. RSM revealed that die wall force was affected by αy. On the other hand, the pressure transmissibility rate of punches value was affected not only by the αy value, but also by μ. The FEM revealed that the residual shear stress was greater for small granules than for large granules. These results suggest that the inner structure of a tablet comprising small granules was less homogeneous than that comprising large granules. To evaluate the contribution of the simulation parameters to residual stress, these parameters were assigned to the fractional factorial design and an ANOVA was applied. The result indicated that μ was the critical factor influencing residual shear stress. This study demonstrates the importance of combining simulation and statistical analysis to gain a deeper understanding of the tableting process.</description><subject>Coefficient of friction</subject><subject>Computer simulation</subject><subject>Design</subject><subject>Design of experiments</subject><subject>Finite element analysis</subject><subject>Finite element method</subject><subject>Fractional factorial design</subject><subject>Friction</subject><subject>Granular materials</subject><subject>Granulation</subject><subject>Internal friction</subject><subject>Lactose</subject><subject>Mathematical analysis</subject><subject>particle size</subject><subject>Powder</subject><subject>Process parameters</subject><subject>Punches</subject><subject>Residual stress</subject><subject>residual stress distribution</subject><subject>Response surface methodology</subject><subject>Shear stress</subject><subject>Sieves</subject><subject>Simulation</subject><subject>Statistical analysis</subject><subject>Stress analysis</subject><subject>Stress concentration</subject><subject>Stress distribution</subject><subject>tablet</subject><subject>Tablets</subject><subject>Variance analysis</subject><issn>0009-2363</issn><issn>1347-5223</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNpdkU1vEzEQhi0EoqFw5IosceGyxV_74SNK0lKpCETK2fJ6ZxNHXm-wvRLlp_Hr8CYllbh4xp5nXo_9IvSWkivKRPPRHNorQ-uCEFmWz9CCclEXJWP8OVqQfFgwXvEL9CrGPSGsJDV_iS6YrCkhQi7QnxUkCIP11m9x2gG-9b2bwBvAY49vgvaTA7yxv_Pe5zhMTieb02866GHujVj7Dn-HaLtJO7zZgQ54kwLEiFc2pmDb6dhhPb7XrYMUcfuAl-PQPt16ndMEeO1gAJ_wF0i7scsdaTyWV1l96-eJ1r8OEOwMxdfoRa9dhDeP8RL9uF7fLz8Xd19vbpef7gojBEtF1zIqBW9605ics6ZkbV-yugLTMcHLSnKW_0zyihgmelNK01HeU9ZALaVp-SX6cNI9hPHnBDGpwUYDzmkP4xQVI5zzpmwaktH3_6H7cQo-TzdTQlLBZZOp4kSZMMYYoFeH_CQdHhQlajZVZVNVNlUdTc38u0fVqR2gO9P_XMzA8gTsY9JbOAM6JGscHOWqSpXzcpZ9qu50UOD5X2PBt4E</recordid><startdate>20180501</startdate><enddate>20180501</enddate><creator>Hayashi, Yoshihiro</creator><creator>Kosugi, Atsushi</creator><creator>Miura, Takahiro</creator><creator>Takayama, Kozo</creator><creator>Onuki, Yoshinori</creator><general>The Pharmaceutical Society of Japan</general><general>Japan Science and Technology Agency</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>7TM</scope><scope>7U9</scope><scope>H94</scope><scope>7X8</scope></search><sort><creationdate>20180501</creationdate><title>Determining the Influence of Granule Size on Simulation Parameters and Residual Shear Stress Distribution in Tablets by Combining the Finite Element Method into the Design of Experiments</title><author>Hayashi, Yoshihiro ; Kosugi, Atsushi ; Miura, Takahiro ; Takayama, Kozo ; Onuki, Yoshinori</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-db219438fc8cdb22852bf5276ecd243569323479360c24fc59cd13f128e799cb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Coefficient of friction</topic><topic>Computer simulation</topic><topic>Design</topic><topic>Design of experiments</topic><topic>Finite element analysis</topic><topic>Finite element method</topic><topic>Fractional factorial design</topic><topic>Friction</topic><topic>Granular materials</topic><topic>Granulation</topic><topic>Internal friction</topic><topic>Lactose</topic><topic>Mathematical analysis</topic><topic>particle size</topic><topic>Powder</topic><topic>Process parameters</topic><topic>Punches</topic><topic>Residual stress</topic><topic>residual stress distribution</topic><topic>Response surface methodology</topic><topic>Shear stress</topic><topic>Sieves</topic><topic>Simulation</topic><topic>Statistical analysis</topic><topic>Stress analysis</topic><topic>Stress concentration</topic><topic>Stress distribution</topic><topic>tablet</topic><topic>Tablets</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hayashi, Yoshihiro</creatorcontrib><creatorcontrib>Kosugi, Atsushi</creatorcontrib><creatorcontrib>Miura, Takahiro</creatorcontrib><creatorcontrib>Takayama, Kozo</creatorcontrib><creatorcontrib>Onuki, Yoshinori</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Chemical & pharmaceutical bulletin</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hayashi, Yoshihiro</au><au>Kosugi, Atsushi</au><au>Miura, Takahiro</au><au>Takayama, Kozo</au><au>Onuki, Yoshinori</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determining the Influence of Granule Size on Simulation Parameters and Residual Shear Stress Distribution in Tablets by Combining the Finite Element Method into the Design of Experiments</atitle><jtitle>Chemical & pharmaceutical bulletin</jtitle><addtitle>Chem. Pharm. Bull.</addtitle><date>2018-05-01</date><risdate>2018</risdate><volume>66</volume><issue>5</issue><spage>541</spage><epage>547</epage><pages>541-547</pages><issn>0009-2363</issn><eissn>1347-5223</eissn><abstract>The influence of granule size on simulation parameters and residual shear stress in tablets was determined by combining the finite element method (FEM) into the design of experiments (DoE). Lactose granules were prepared using a wet granulation method with a high-shear mixer and sorted into small and large granules using sieves. To simulate the tableting process using the FEM, parameters simulating each granule were optimized using a DoE and a response surface method (RSM). The compaction behavior of each granule simulated by FEM was in reasonable agreement with the experimental findings. Higher coefficients of friction between powder and die/punch (μ) and lower by internal friction angle (αy) were generated in the case of small granules, respectively. RSM revealed that die wall force was affected by αy. On the other hand, the pressure transmissibility rate of punches value was affected not only by the αy value, but also by μ. The FEM revealed that the residual shear stress was greater for small granules than for large granules. These results suggest that the inner structure of a tablet comprising small granules was less homogeneous than that comprising large granules. To evaluate the contribution of the simulation parameters to residual stress, these parameters were assigned to the fractional factorial design and an ANOVA was applied. The result indicated that μ was the critical factor influencing residual shear stress. This study demonstrates the importance of combining simulation and statistical analysis to gain a deeper understanding of the tableting process.</abstract><cop>Japan</cop><pub>The Pharmaceutical Society of Japan</pub><pmid>29710049</pmid><doi>10.1248/cpb.c17-00955</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Coefficient of friction Computer simulation Design Design of experiments Finite element analysis Finite element method Fractional factorial design Friction Granular materials Granulation Internal friction Lactose Mathematical analysis particle size Powder Process parameters Punches Residual stress residual stress distribution Response surface methodology Shear stress Sieves Simulation Statistical analysis Stress analysis Stress concentration Stress distribution tablet Tablets Variance analysis |
title | Determining the Influence of Granule Size on Simulation Parameters and Residual Shear Stress Distribution in Tablets by Combining the Finite Element Method into the Design of Experiments |
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