{"id":{"repo_id":"uoit","oai_identifier":"oai:ontariotechu.scholaris.ca:10155/2083"},"canonical_url":"https://search.dev.ndltd.org/etd/uoit/oai:ontariotechu.scholaris.ca:10155/2083","repository":{"repo_id":"uoit","name":"Ontario Institute of Technology","base_url":"https://ontariotechu.scholaris.ca/server/oai/request"},"display":{"title":"Investigating the effects of AC voltage signals on micro-channels machined with the Spark Assisted Chemical Engraving process","abstract":"Spark-Assisted Chemical Engraving (SACE) is a non-conventional method for microfabrication in glass. The process relies on multiple parameters for machining, but its stochastic nature often reduces the predictability of machining outcomes. While prior work has studied various individual parameters, the influence of voltage waveforms has been largely neglected. This study filled that gap by using the voltage waveform as a tool for real-time process control and outcome prediction. Pulse, sinusoidal, and triangular waveforms were evaluated on how they affected key process signatures extracted from the current signal. These signatures were then quantified and correlated with surface quality and channel morphology. Sodium and potassium hydroxide solutions were used, and the combined effects of electrolyte type and waveform were mapped to show how they affected machining efficiency. The study also examined temperature in SACE by comparing heat-assisted and non-heated conditions, demonstrating how added thermal energy further tuned machining performance.","abstract_html":"Spark-Assisted Chemical Engraving (SACE) is a non-conventional method for microfabrication in glass. The process relies on multiple parameters for machining, but its stochastic nature often reduces the predictability of machining outcomes. While prior work has studied various individual parameters, the influence of voltage waveforms has been largely neglected. This study filled that gap by using the voltage waveform as a tool for real-time process control and outcome prediction. Pulse, sinusoidal, and triangular waveforms were evaluated on how they affected key process signatures extracted from the current signal. These signatures were then quantified and correlated with surface quality and channel morphology. Sodium and potassium hydroxide solutions were used, and the combined effects of electrolyte type and waveform were mapped to show how they affected machining efficiency. The study also examined temperature in SACE by comparing heat-assisted and non-heated conditions, demonstrating how added thermal energy further tuned machining performance.","abstract_has_math":false,"creators":["Ganza, Carmel"],"institution":"University of Ontario Institute of Technology","degree_name":"Master of Applied Science (MASc)","degree_level":null,"degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Abou Ziki, Jana"],"committee_chairs":[],"committee_members":[],"year":2026,"date_issued":"2026-04-01","date_published":"2026-04-01","updated_at":"2026-07-24T05:35:38Z","subjects":[],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10155/2083","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Abou Ziki, Jana"]},{"key":"dc:creator","label":"Author","values":["Ganza, Carmel"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2026-04-28T15:39:33Z"]},{"key":"dc:date.issued","label":"Date","values":["2026-04-01"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Applied Science (MASc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Ontario Institute of Technology"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10155/2083"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Spark-Assisted Chemical Engraving (SACE) is a non-conventional method for microfabrication in glass. The process relies on multiple parameters for machining, but its stochastic nature often reduces the predictability of machining outcomes. While prior work has studied various individual parameters, the influence of voltage waveforms has been largely neglected. This study filled that gap by using the voltage waveform as a tool for real-time process control and outcome prediction. Pulse, sinusoidal, and triangular waveforms were evaluated on how they affected key process signatures extracted from the current signal. These signatures were then quantified and correlated with surface quality and channel morphology. Sodium and potassium hydroxide solutions were used, and the combined effects of electrolyte type and waveform were mapped to show how they affected machining efficiency. The study also examined temperature in SACE by comparing heat-assisted and non-heated conditions, demonstrating how added thermal energy further tuned machining performance."]},{"key":"dc:title","label":"Title","values":["Investigating the effects of AC voltage signals on micro-channels machined with the Spark Assisted Chemical Engraving process"]}]}],"canonical_facts":{"dc:contributor.advisor":["Abou Ziki, Jana"],"dc:creator":["Ganza, Carmel"],"dc:date.accessioned":["2026-04-28T15:39:33Z"],"dc:date.issued":["2026-04-01"],"dc:description.abstract":["Spark-Assisted Chemical Engraving (SACE) is a non-conventional method for microfabrication in glass. The process relies on multiple parameters for machining, but its stochastic nature often reduces the predictability of machining outcomes. While prior work has studied various individual parameters, the influence of voltage waveforms has been largely neglected. This study filled that gap by using the voltage waveform as a tool for real-time process control and outcome prediction. Pulse, sinusoidal, and triangular waveforms were evaluated on how they affected key process signatures extracted from the current signal. These signatures were then quantified and correlated with surface quality and channel morphology. Sodium and potassium hydroxide solutions were used, and the combined effects of electrolyte type and waveform were mapped to show how they affected machining efficiency. The study also examined temperature in SACE by comparing heat-assisted and non-heated conditions, demonstrating how added thermal energy further tuned machining performance."],"dc:identifier.uri":["https://hdl.handle.net/10155/2083"],"dc:language.iso":["en"],"dc:title":["Investigating the effects of AC voltage signals on micro-channels machined with the Spark Assisted Chemical Engraving process"],"dc:type":["Thesis"],"thesis:degree_discipline":["Mechanical Engineering"],"thesis:degree_name":["Master of Applied Science (MASc)"],"thesis:institution_name":["University of Ontario Institute of Technology"]},"updated_at":"2026-07-24T05:35:38Z"}