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    <dc:date>2026-07-10T05:25:51Z</dc:date>
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    <title>References_ Rajeev Sharma_Thesis</title>
    <link>http://localhost:8080/xmlui/handle/123456789/824</link>
    <description>Title: References_ Rajeev Sharma_Thesis
Authors: Sharma, Rajeev
Abstract: The current research focused on the machinability investigation of duplex &#xD;
stainless steel (DSS) 2205 under different types of cooling environments e.g. dry, &#xD;
flood (wet), MQL, cryogenic (LCO2), and MQL-LCO2. TiAlN-coated solid carbide &#xD;
drill was used for drilling DSS 2205 because DSS has 31 HRC, so it is difficult to &#xD;
cut material. &#xD;
The present research is divided into three phases. In the first phase, &#xD;
experimental investigation was carried out on DSS 2205 under dry, and wet &#xD;
conditions with TiAlN coated solid carbide drill. The set of experiments is made by &#xD;
using the design of experiment (DOE) Taguchi method. For the design of the &#xD;
experiment, select three input parameters e.g. machining environment, spindle &#xD;
speed, and feed rate while Ra is a response variable. Total L8 set of experiments &#xD;
generated by the orthogonal array (OA). After parametric optimization, the optimal &#xD;
process parameters, e.g. high spindle speed, low feed rate, and wet cooling &#xD;
condition, were obtained. The mean effect plot and ANOVA are utilized to study the &#xD;
parametric influence on performance outcomes. Furthermore, a confirmation test &#xD;
was carried out to compare the experimental value to predicated value.
Description: Part of Thesis</description>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
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    <title>Content-Rajeev Sharma _Thesis</title>
    <link>http://localhost:8080/xmlui/handle/123456789/823</link>
    <description>Title: Content-Rajeev Sharma _Thesis
Authors: Sharma, Rajeev; Jha, Binit Kumar; Pahuja, Vipin
Abstract: The current research focused on the machinability investigation of duplex &#xD;
stainless steel (DSS) 2205 under different types of cooling environments e.g. dry, &#xD;
flood (wet), MQL, cryogenic (LCO2), and MQL-LCO2. TiAlN-coated solid carbide &#xD;
drill was used for drilling DSS 2205 because DSS has 31 HRC, so it is difficult to &#xD;
cut material. &#xD;
The present research is divided into three phases. In the first phase, &#xD;
experimental investigation was carried out on DSS 2205 under dry, and wet &#xD;
conditions with TiAlN coated solid carbide drill. The set of experiments is made by &#xD;
using the design of experiment (DOE) Taguchi method. For the design of the &#xD;
experiment, select three input parameters e.g. machining environment, spindle &#xD;
speed, and feed rate while Ra is a response variable. Total L8 set of experiments &#xD;
generated by the orthogonal array (OA). After parametric optimization, the optimal &#xD;
process parameters, e.g. high spindle speed, low feed rate, and wet cooling &#xD;
condition, were obtained. The mean effect plot and ANOVA are utilized to study the &#xD;
parametric influence on performance outcomes. Furthermore, a confirmation test &#xD;
was carried out to compare the experimental value to predicated value.
Description: Part Of Thesis</description>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
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    <title>Declaration_ Rajeev Sharma _Thesis</title>
    <link>http://localhost:8080/xmlui/handle/123456789/822</link>
    <description>Title: Declaration_ Rajeev Sharma _Thesis
Authors: Sharma, Rajeev; Jha, Binit Kumar; Pahuja, Vipin
Abstract: The current research focused on the machinability investigation of duplex &#xD;
stainless steel (DSS) 2205 under different types of cooling environments e.g. dry, &#xD;
flood (wet), MQL, cryogenic (LCO2), and MQL-LCO2. TiAlN-coated solid carbide &#xD;
drill was used for drilling DSS 2205 because DSS has 31 HRC, so it is difficult to &#xD;
cut material. &#xD;
The present research is divided into three phases. In the first phase, &#xD;
experimental investigation was carried out on DSS 2205 under dry, and wet &#xD;
conditions with TiAlN coated solid carbide drill. The set of experiments is made by &#xD;
using the design of experiment (DOE) Taguchi method. For the design of the &#xD;
experiment, select three input parameters e.g. machining environment, spindle &#xD;
speed, and feed rate while Ra is a response variable. Total L8 set of experiments &#xD;
generated by the orthogonal array (OA). After parametric optimization, the optimal &#xD;
process parameters, e.g. high spindle speed, low feed rate, and wet cooling &#xD;
condition, were obtained. The mean effect plot and ANOVA are utilized to study the &#xD;
parametric influence on performance outcomes. Furthermore, a confirmation test &#xD;
was carried out to compare the experimental value to predicated value.
Description: Part of Thesis</description>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://localhost:8080/xmlui/handle/123456789/821">
    <title>Chapters_ Rajeev Sharma _Thesis</title>
    <link>http://localhost:8080/xmlui/handle/123456789/821</link>
    <description>Title: Chapters_ Rajeev Sharma _Thesis
Authors: Sharma, Rajeev; Jha, Binit Kumar; Pahuja, Vipin
Abstract: The current research focused on the machinability investigation of duplex &#xD;
stainless steel (DSS) 2205 under different types of cooling environments e.g. dry, &#xD;
flood (wet), MQL, cryogenic (LCO2), and MQL-LCO2. TiAlN-coated solid carbide &#xD;
drill was used for drilling DSS 2205 because DSS has 31 HRC, so it is difficult to &#xD;
cut material. &#xD;
The present research is divided into three phases. In the first phase, &#xD;
experimental investigation was carried out on DSS 2205 under dry, and wet &#xD;
conditions with TiAlN coated solid carbide drill. The set of experiments is made by &#xD;
using the design of experiment (DOE) Taguchi method. For the design of the &#xD;
experiment, select three input parameters e.g. machining environment, spindle &#xD;
speed, and feed rate while Ra is a response variable. Total L8 set of experiments &#xD;
generated by the orthogonal array (OA). After parametric optimization, the optimal &#xD;
process parameters, e.g. high spindle speed, low feed rate, and wet cooling &#xD;
condition, were obtained. The mean effect plot and ANOVA are utilized to study the &#xD;
parametric influence on performance outcomes. Furthermore, a confirmation test &#xD;
was carried out to compare the experimental value to predicated value.
Description: Part of Thesis</description>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
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